Optical signal-to-noise ratio determination method and device of optical fiber communication system, medium and equipment

Abstract

A method, device, medium and equipment for determining an optical signal-to-noise ratio of an optical fiber communication system, the method comprising: in an operation process of the optical fiber communication system, for each optical amplifier, determining a target relative gain model from preset relative gain models according to a to-be-measured channel frequency and a preset gain slope of the optical amplifier, determining a target channel gain based on the target relative gain model and a preset gain of the optical amplifier, determining a target noise coefficient model from a preset noise coefficient model according to the to-be-measured channel frequency, the preset gain of the optical amplifier and a preset gain slope, and determining a target noise coefficient based on the target noise coefficient model, further determining the optical signal-to-noise ratio deterioration degree of the optical amplifier; and determining the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degree of each stage of optical amplifier. Therefore, on-line measurement of the optical signal-to-noise ratio of the system can be realized, and an electric layer does not need to load any signal related to optical signal-to-noise ratio measurement.

Description

Technical Field

[0001] The present disclosure relates to the field of optical fiber communication technologies, and in particular, to a method, device, medium, and equipment for determining the optical signal-to-noise ratio of an optical fiber communication system. Background Art

[0002] In an optical fiber communication system, the optical signal-to-noise ratio (OSNR) is usually an important indicator for evaluating the system performance, such as for evaluating the system OSNR margin, the optical cable attenuation margin, and the like.

[0003] In related technologies, using the turn-off method for measurement will interrupt the service traffic of the system channels and cannot achieve online OSNR measurement of the system. Or the method of calculating the system OSNR by relying on an optical transponder at the electrical layer can achieve online measurement, but it depends on the signal measured by the optical signal-to-noise ratio at the electrical layer and is not applicable to an optical fiber communication system with decoupled networking of different manufacturers at the optical layer / electrical layer. Summary of the Invention

[0004] This part of the content is provided to briefly introduce the concepts, which will be described in detail in the following detailed implementation part. This part of the content is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0005] In a first aspect, the present disclosure provides a method for determining the optical signal-to-noise ratio of an optical fiber communication system, the method including:

[0006] During the operation of the optical fiber communication system, obtain the target parameter information of each optical amplifier in the optical fiber communication system, and determine the frequency of the channel to be measured, where the target parameter information includes the preset gain and the preset gain slope of the optical amplifier;

[0007] For each optical amplifier among the optical amplifiers at all levels, determine a target relative gain model from a preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier, determine a target channel gain based on the target relative gain model and the preset gain of the optical amplifier, determine a target noise figure model from a preset noise figure model according to the frequency of the channel to be measured, the preset gain and the preset gain slope of the optical amplifier, determine a target noise figure based on the target noise figure model, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the frequency of the channel to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure, where the preset relative gain model and the preset noise figure model are both modeled based on optical amplifiers of the same type as the optical amplifier under different preset gains and preset gain slopes;

[0008] Determine the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degree of each stage of optical amplifier.

[0009] In a second aspect, the present disclosure provides an optical signal-to-noise ratio determination device for an optical fiber communication system, the device comprising:

[0010] An acquisition module, configured to acquire target parameter information of each stage of optical amplifier in the optical fiber communication system during the operation of the optical fiber communication system, and determine a to-be-measured channel frequency, where the target parameter information includes a preset gain and a preset gain slope of the optical amplifier;

[0011] A first determination module, configured to, for each optical amplifier in each stage of optical amplifier, determine a target relative gain model from a preset relative gain model according to the to-be-measured channel frequency and the preset gain slope of the optical amplifier, determine a target channel gain based on the target relative gain model and the preset gain of the optical amplifier, determine a target noise coefficient model from a preset noise coefficient model according to the to-be-measured channel frequency, the preset gain and the preset gain slope of the optical amplifier, determine a target noise coefficient based on the target noise coefficient model, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the to-be-measured channel frequency, the target parameter information of the optical amplifier, the target channel gain, and the target noise coefficient, where the preset relative gain model and the preset noise coefficient model are both modeled based on optical amplifiers of the same type as the optical amplifier under different preset gains and preset gain slopes;

[0012] A second determination module, configured to determine the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degree of each stage of optical amplifier.

[0013] In a third aspect, the present disclosure provides a computer-readable medium, on which a computer program is stored, and when the program is executed by a processing device, the steps of the method in the first aspect are implemented.

[0014] In a fourth aspect, the present disclosure provides an electronic device, comprising:

[0015] A storage device, on which a computer program is stored;

[0016] A processing device, configured to execute the computer program in the storage device to implement the steps of the method in the first aspect.

[0017] In a fifth aspect, the present disclosure provides a computer program product, comprising a computer program, and when the computer program is executed by a processor, the steps of the method in the first aspect are implemented.

[0018] Through the above technical solution, a relative gain model and a noise figure model of each optical amplifier under different preset gains and preset gain slopes are pre-constructed, so that during the operation of the optical fiber communication system, for each optical amplifier, a target relative gain model and a target noise figure model corresponding to the channel frequency to be measured can be determined. Furthermore, based on the channel gain determined by the target relative gain model and the target noise figure determined by the target noise figure model, the optical signal-to-noise ratio degradation degree of the optical amplifier can be determined. Finally, the optical signal-to-noise ratio of the optical fiber communication system can be determined according to the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degrees of each stage of optical amplifier. Therefore, it is possible to realize the online measurement of the optical signal-to-noise ratio of the system without interrupting the service traffic of the system channels, and this method is a system modeling calculation in the pure optical layer. The simulation calculation of the optical signal-to-noise ratio is realized through the pre-modeled relative gain model and noise figure model, which can not only improve the calculation accuracy of the optical signal-to-noise ratio, but also does not require any signals related to the optical signal-to-noise ratio measurement to be loaded in the electrical layer, and can be applied to the optical fiber communication system with decoupled networking of different manufacturers in the optical layer / electrical layer.

[0019] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In combination with the drawings and with reference to the following specific implementation manners, the above and other features, advantages and aspects of the embodiments of the present disclosure will become more obvious. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the original components and elements are not necessarily drawn to scale. In the drawings:

[0021] Figure 1 is a schematic flowchart of a method for determining the optical signal-to-noise ratio of an optical fiber communication system according to an exemplary embodiment of the present disclosure;

[0022] Figure 2 is a schematic diagram of a modeling test environment according to an exemplary embodiment of the present disclosure;

[0023] Figure 3 is a schematic diagram of a modeling false wave according to an exemplary embodiment of the present disclosure;

[0024] Figure 4 is a schematic diagram of an actual gain slope according to an exemplary embodiment of the present disclosure;

[0025] Figure 5 is a schematic diagram of an actual gain curve according to an exemplary embodiment of the present disclosure;

[0026] Figure 6 is a schematic diagram of a relative gain curve according to an exemplary embodiment of the present disclosure;

[0027] Figure 7 It is a schematic diagram of a fitting parameter table of a relative gain model shown according to an exemplary embodiment of the present disclosure;

[0028] Figure 8 It is a schematic diagram of a noise figure curve shown according to an exemplary embodiment of the present disclosure;

[0029] Figure 9 It is a schematic diagram of the fitting of an average noise figure shown according to an exemplary embodiment of the present disclosure;

[0030] Figure 10 It is a schematic diagram of a fitting parameter table of a noise figure model shown according to an exemplary embodiment of the present disclosure;

[0031] Figure 11 It is a schematic diagram of a point-to-point networking system shown according to an exemplary embodiment of the present disclosure;

[0032] Figure 12 It is a schematic diagram of a mesh networking system shown according to an exemplary embodiment of the present disclosure;

[0033] Figure 13 It is a block diagram of the structure of an optical signal-to-noise ratio determination device for an optical fiber communication system shown according to an exemplary embodiment of the present disclosure;

[0034] Figure 14 It is a schematic diagram of the structure of an electronic device shown according to an exemplary embodiment of the present disclosure. Detailed implementation manners

[0035] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0036] It should be understood that the various steps recorded in the method embodiments of the present disclosure can be executed in a different order and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0037] As used herein, the term "including" and its variations are open-ended, i.e., "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0038] It should be noted that the concepts such as "first", "second", etc. mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0039] It should be noted that the modifications of "one" and "plural" mentioned in this disclosure are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise clearly specified in the context, it should be understood as "one or more".

[0040] The names of the messages or information exchanged between multiple devices in the embodiments of this disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0041] All actions of obtaining signals, information or data in this disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located and obtaining the authorization given by the owner of the corresponding device.

[0042] It can be understood that before using the technical solutions disclosed in the embodiments of this disclosure, the types, usage scopes, usage scenarios, etc. of the personal information involved in this disclosure should be informed to the user in an appropriate manner and the user's authorization should be obtained in accordance with relevant laws and regulations.

[0043] For example, when responding to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested by the user will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, an application program, a server, or a storage medium that performs the operations of the technical solutions of this disclosure according to the prompt message.

[0044] As an optional but non-limiting implementation manner, the way of sending a prompt message to the user in response to receiving an active request from the user can be, for example, in the form of a pop-up window. The prompt message can be presented in text in the pop-up window. In addition, the pop-up window can also carry selection controls for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0045] It can be understood that the above notification and the process of obtaining user authorization are only illustrative and do not limit the implementation manner of the present disclosure. Other manners that comply with relevant laws and regulations can also be applied to the implementation manner of the present disclosure.

[0046] Meanwhile, it can be understood that the data involved in the present technical solution (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of corresponding laws, regulations and related provisions.

[0047] Taking a Dense Wavelength Division Multiplexing (DWDM) system as an example, the noise of the system line mainly comes from the ASE (Amplified Spontaneous Emission) noise of the optical amplifier at the optical relay site and the non-linear noise of the optical fiber, and the ASE noise is the dominant factor.

[0048] With the continuous increase of the single-wave rate, the spectral efficiency is also continuously improved. The spectra between different channels serve as the underlying platform for long-distance high-capacity communication and are directly connected to the long-distance physical optical cable line. The change of the attenuation of the optical fiber core will be affected due to the change or jitter of the physical working conditions of the optical cable line. After reaching 100G per wave, the ASE noise level of a multi-span DWDM system will usually be submerged below the overlapping part of the adjacent true wave spectra. Therefore, the OSNR of a single channel can only be measured by the turn-off method. Obviously, the turn-off measurement method will interrupt the service traffic of the system channel and cannot achieve online lossless measurement.

[0049] In the related art, although it is also possible to achieve online measurement by using the method of calculating the system OSNR depending on the optical transponder at the electrical layer, the signal depending on the measurement of the optical signal-to-noise ratio loaded at the electrical layer is not applicable to the optical fiber communication system with decoupled networking of different manufacturers at the optical layer / electrical layer and the scenario where the same system includes optical transponders of different manufacturers. Herein, the optical layer refers to multiplexers, optical protection boards, optical amplifiers, etc., and the electrical layer refers to optical transponders, etc.

[0050] In addition, when the optical cable has abnormal jitter or deterioration, the power of all downstream optical amplifiers of the system line will change. If there is no alarm or error code after error correction in the current electrical layer transponder, there is no way to know how much OSNR margin the system has after the optical cable deteriorates, and thus it is impossible to analyze the priority of optical cable repair through the current OSNR margin of the system.

[0051] In addition, in order to avoid the drastic change in the stimulated Raman scattering spectrum caused by the batch up-conversion and down-conversion during the system expansion or contraction process, in the related art, the DWDM system often operates the system at the full-wave state at the initial stage of construction, that is, false waves are preset in the system to fill the spectral channels of all the channels without real services. During the operation of the system, the noise level of the false channels also plays an important role in the system performance evaluation. For example, when the system is expanded, specific-wavelength false waves need to be replaced with real waves. If the OSNRase (ASE optical signal-to-noise ratio) level of the false channel can be obtained before the replacement, the expected OSNRase performance level of the real wave can be understood before the formal expansion, and the performance of the false wave can also be optimized and adjusted before the real-wave expansion to improve the real-wave expansion efficiency. However, the measurement method relying on the electrical layer in the related art cannot achieve the performance evaluation of the false channels.

[0052] In view of this, the present disclosure provides a method, apparatus, medium and device for determining the optical signal-to-noise ratio of an optical fiber communication system to solve the above technical problems. Among them, the optical fiber communication system can be a coherent optical transmission system, a DWDM system, a coherent DWDM system, etc., and the present disclosure does not limit this.

[0053] The following further explains the embodiments of the present disclosure with reference to the accompanying drawings.

[0054] Figure 1 is a flowchart of a method for determining the optical signal-to-noise ratio of an optical fiber communication system shown according to an exemplary embodiment of the present disclosure. Referring to Figure 1 , the method includes:

[0055] S101: During the operation of the optical fiber communication system, obtain the target parameter information of the optical amplifiers at all levels in the optical fiber communication system, and determine the frequency of the channel to be measured. The target parameter information includes the preset gain and the preset gain slope of the optical amplifier.

[0056] Exemplarily, the target parameter information of the optical amplifiers at all levels can be collected by the device controller in real time or periodically, and the present disclosure does not limit this.

[0057] S102: For each optical amplifier among all levels of optical amplifiers, determine a target relative gain model from a preset relative gain model according to the channel frequency to be measured and the preset gain slope of the optical amplifier, determine the target channel gain based on the target relative gain model and the preset gain of the optical amplifier, determine a target noise figure model from a preset noise figure model according to the channel frequency to be measured, the preset gain and the preset gain slope of the optical amplifier, determine the target noise figure based on the target noise figure model, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure. Both the preset relative gain model and the preset noise figure model are modeled based on optical amplifiers of the same type as the optical amplifier under different preset gains and preset gain slopes.

[0058] S103: Determine the optical signal-to-noise ratio of the fiber optic communication system according to the input optical signal-to-noise ratio of the fiber optic communication system and the optical signal-to-noise ratio degradation degrees of all levels of optical amplifiers.

[0059] By adopting the above method, it is possible to realize the online measurement of the system optical signal-to-noise ratio without interrupting the service traffic of the system channels. Moreover, this method is a system modeling calculation in the pure optical layer, and realizes the simulation calculation of the optical signal-to-noise ratio through the pre-modeled relative gain model and noise figure model. It can not only improve the calculation accuracy of the optical signal-to-noise ratio, but also does not require any signals related to the optical signal-to-noise ratio measurement to be loaded in the electrical layer, and can be applied to fiber optic communication systems with non-homogeneous decoupled networking in the optical layer / electrical layer.

[0060] Next, an embodiment will be used to illustrate the modeling process of the preset relative gain model and the preset noise figure model.

[0061] It should be noted that taking the DWDM system as an example, when designing and manufacturing an optical amplifier board, a tunable gain EDFA (Erbium-Doped Fiber Amplifier) module, that is, a VGA (Variable Gain Amplifier) module, is usually used. Since the VGA has independent model specification management, and the root cause of determining the performance and noise of the optical amplifier comes from the VGA, optical amplifier boards of different models use the same model of VGA, and should be modeled according to the same VGA. Similarly, if optical amplifier boards of the same model use different models of VGA, they should be modeled separately according to the specific VGA type.

[0062] Exemplarily, Figure 2 is a schematic diagram of the test environment for the gain (Gain) spectrum and noise figure (NF) spectrum of the optical amplifier board. The optical amplifier board in it is only for exemplary illustration, and the actual structure of the optical amplifier board can be specifically referred to. As Figure 2As shown in the figure, at the input end of the optical amplifier board, the wide-spectrum noise source is channelized and filtered through a wavelength selection switch to form a false wave with a peak shape. Then, it is connected to the input direction of the optical amplifier board and the input of the spectrum analyzer through a 1:2 optical switch, while the output of the optical amplifier board and the false wave are connected to the spectrum analyzer through a 2:1 optical switch. Among them, Figure 2 The modules outside the board shown are used during testing and will not be connected to the test modules in an actual optical fiber transmission system.

[0063] It should be noted that when manufacturing false waves, the frequency width of the false waves should be as low as possible, and the flat ASE part between the false waves should be as wide as possible. For example, let the passband of the false wave be 25 GHz, and the interval between adjacent false waves be 100 GHz. Taking the 4.8 THz frequency range in the C band as an example, there are a total of 48 false wave channels. The reason for setting two optical switches is mainly to minimize the power error caused by manual physical fiber connection during the process of testing the input and output of the optical amplifier board without the need for manual physical fiber connection.

[0064] In addition, when setting the input power of the optical amplifier board, it should be considered to make the output of the EDFA in a critically saturated state. For example, if the saturated output power of the EDFA is 23 dBm, when testing the Gain spectrum and NF spectrum at an EDFA gain of 15 dB, the external optical variable attenuator should be controlled so that the input power of the EDFA is 23 dBm - 15 dB = 8 dBm.

[0065] As Figure 3 shown, when testing each Gain value and each Tilt (gain slope) value, first measure the input spectrum at the input end of the optical amplifier board, and calibrate according to the total power value of the full band reported by the spectrum analyzer and the EDFA input monitoring value of the board to obtain the spectrum of the EDFA input. Measure the integrated power P in.channel at the center frequency of the wavelength to be measured with an integration width of 12.5 GHz by the spectrum analyzer, as well as the integrated power at the middle position between adjacent wave valleys and obtain the ase power level P in.ase (υ n ) dB at the middle position by interpolation and averaging, as shown in the following calculation formula:

[0066]

[0067] Among them, the parameters in the above calculation formula take the arithmetic average of dB values.

[0068] Similarly, the spectrum analyzer is switched to the output end of the optical amplifier board through an external optical switch to measure the output spectrum, and calibration is performed according to the total power value of the entire wavelength band reported by the spectrum analyzer and the EDFA monitoring value of the board, so as to obtain the spectrum output by the EDFA. The spectrum analyzer measures the integrated power P with a center frequency of the wavelength to be measured according to an integration width of 12.5 GHz out.chamnel , as well as the integrated power at the middle position between adjacent wave troughs and the average value is obtained by interpolation to get the ase power level P at the middle position out.ase (υ n ) dB , as shown in the following calculation formula

[0069]

[0070] Among them, the parameters in the above calculation formula take the arithmetic average of dB values

[0071] Furthermore, for each frequency point on the input and output spectra of the EDFA, the output power is equal to the input power multiplied by the gain Gain(υ n ), and the additional ASE noise power P at this frequency point is added add.ase (υ n ). That is, P out.ase (υ n ), P in.ase (υ n ), P out.channel (υ n ), P in.channel have the following relationship

[0072]

[0073] Thus, the additional ASE noise power P at the center frequency υ n and the gain Gain(υ add.ase (υ n ) are obtained, and further the noise figure NF(υ n ) at the center frequency υ n is calculated according to the following calculation formula n :

[0074]

[0075] Among them, h is Planck's constant, υ n is the center frequency of the nth channel, B is the equivalent bandwidth of 12.5 GHz, and the additional ASE noise power P add.ase (υ n ) can also be understood as the integrated power of 12.5 GHz at the center frequency υ n . The parameters in the above calculation formula are all linear values

[0076] According to the above measurement method, the specific gain Gain can be measured. target , the specific gain slope Tilt target for all channels under which the Gain (Gain target , Tilt target , v n ), and the gain and noise figure NF (Gain target , Tilt target , υ n ). That is, the Gain gain spectrum and the NF noise figure spectrum are obtained.

[0077] It should be noted that as the basic data entry for EDFA modeling, all gain ranges and gain slope ranges of the optical amplifier should be covered as much as possible during actual testing. For example, for an optical amplifier with an adjustable gain range of 15 - 25 and an adjustable gain slope range of 4 - -1, the gain can cover the 15 - 25 dB gain every 2 dB, and the gain slope can cover the range of 4 - -1 by integer values. Then, this type of optical amplifier needs to measure 6 gains multiplied by 6 gain slopes, that is, 36 groups of input and output spectra of the optical amplifier, and calculate the corresponding 36 groups of Gain(υ n ) gain spectra and NF(υ n ) noise figure spectra. If the false wave interval of the wavelength selection switch channelization is 100 GHz, taking the C-band 4.8 THz system as an example, each group of Gain(v n ) gain spectra and NF(v n ) noise figure spectra has 48 frequency points.

[0078] It should be understood that an adjustable EDFA can achieve the control of gain and gain slope through combined adjustment of pump power, optical variable attenuator, gain distribution of different erbium fibers, etc. Among them, Gain target the target gain or the set gain represents the amplification factor of the EDFA for the pure signal light, that is, the ASE noise in the operating wavelength range is deducted. The actual gain is obtained by directly subtracting the EDFA input from the EDFA output, where the EDFA output includes the ASE noise introduced by this stage of the EDFA. Tilt target represents the target gain slope or the set gain slope. Taking the C96 system with a channel spacing of 100 GHz and 48 channels in the C96 band as an example, after linearly fitting the gain spectrum of the entire band, as Figure 4 shown, the power difference of 3.9 dB between channel 1 and channel 48 calculated by the analytical formula is the actual gain slope. Therefore, there is an error between the target gain slope and the actual gain slope, and there are errors under different gains and different gain slopes. The error level depends on the factory calibration of the optical amplifier.

[0079] As Figure 5The actual gain curve of the optical amplifier shown indicates that, at the same gain slope, the channel-level Ripple, i.e., the gain ripple, for different gains is not significantly different and can be ignored, and the gain Ripple has little gain correlation. Figure 6 is the relative gain Ripple for some channels, Figure 5 where the abscissa is the channel frequency, the ordinate is the gain, G represents the set gain, and T represents the set gain slope. In the embodiments of the present disclosure, the gain Ripple is defined as the relative gain, which can be understood as a specific Gain target 、Tilt target The original gain spectrum measured at is Gain(υ n ) dB After that, based on the following calculation formula, Gain(v n ) dB is arithmetically averaged to obtain the average gain average dB , and then the relative gain spectrum Ripple for all channels is calculated, that is, Gain.Ripple(Tilt target ,υ n ):

[0080]

[0081] Gain.Ripple(v n ) dB =Gain(v n ) dB -Gain average dB

[0082] where N is the number of channels, and the arithmetic average of the relative gain ripple should be 0 dB, that is, the relative gain ripple can be understood as the relative gain value after the channel gain is averaged to zero.

[0083] Based on Figure 6 it can be seen that, for each channel individually with the same gain but different gain slopes, the relative gain values of different gain slopes are basically linearly correlated with the gain slope, while for each channel individually with different gains and the same gain slope, there is no obvious pattern between the channel relative gain and the wavelength information.

[0084] Before modeling, first determine the channels to be modeled for the optical amplifier. Among possible methods, the channels to be modeled are determined as follows: The spectral range of the optical amplifier is divided based on a preset frequency interval to obtain the first preset channels; a preset frequency interval is extended in the long-wavelength direction and the short-wavelength direction of the spectral range to obtain the second preset channels; the first preset channels and the second preset channels are determined as the channels to be modeled.

[0085] Exemplarily, taking the C96 system as an example, the spectral range can be divided at intervals of 100 GHz to obtain 48 channels to be modeled. Additionally, the long and short wavelengths can be extended by 100 GHz each to obtain extended channels, which facilitates the extended calculation of channels with intervals other than 100 GHz. Specifically, the channel division can be performed according to requirements, and the present disclosure places no restrictions thereon.

[0086] In a possible approach, the preset relative gain model is obtained in the following manner: Determine the actual gain spectra of the channels to be modeled of an optical amplifier of the same model as the optical amplifier at different preset gains and preset gain slopes, and determine the average gain of the actual gain spectra. The channels to be modeled are determined based on the spectral range of the optical amplifier; Determine the difference between each actual gain and the average gain in the actual gain spectra to obtain the relative gain spectra of the channels to be modeled; Perform linear fitting on the relative gain spectra to obtain a linear fitting function, and determine the linear fitting function as the preset relative gain model; wherein, the independent variable of the linear fitting function is the preset gain slope, the constant of the linear fitting function is the fitting parameter corresponding to the channel to be modeled, and the dependent variable of the linear fitting function is the relative gain of the channel to be modeled varying with the preset gain slope.

[0087] Exemplarily, it can be based on, for example Figure 5 as shown in the actual gain spectrum and calculated to obtain, for example Figure 6 the relative gain spectrum as shown, and then the relative gain spectrum can be linearly fitted to obtain the preset relative gain model, so as to determine the channel gain based on the linearly related relative gain.

[0088] Exemplarily, the linear fitting function can be the following linear function:

[0089] Gain.Ripple(Tilt target , υ n ) = j0(υ n ) + j1(v n ) · Tilt target

[0090] wherein, υ n represents the channel frequency of the channel to be modeled, j0(υ n ) and j1(υ n ) represent the fitting parameters corresponding to the channel to be modeled, Tilt target represents the preset gain slope, Gain.Ripple(Tilt target , υ n ) represents the relative gain corresponding to the channel to be modeled at the preset gain slope, and all the parameters in the above calculation formula are linear values.

[0091] Furthermore, obtain, for example Figure 7The fitting parameters of the relative gain model for different channel frequencies are shown, and then the corresponding fitting parameters can be selected according to different channel frequencies to be measured, and the target relative gain model can be determined in combination with the preset gain slope.

[0092] It should be noted that the modeling method of the relative gain Ripple is to obtain the ripple shape between channels, but for the absolute power of a single wave at the specific input and output, the total power of EDFA-in and EDFA-out should be used to calibrate the power of a single wave, that is, add errors to all channels. In addition, the input gain can be the set gain of the optical amplifier, rather than the actual gain.

[0093] Figure 8 It is a schematic diagram of the noise figure NF of the optical amplifier at different gains, different gain slopes, and different wavelengths, where the value of the noise figure changes with the wavelength. Figure 8 It can be seen that since the noise figure has a monotonic correlation with the set gain and the set gain slope, the set gain can also be called the preset gain, and the set gain slope can also be called the preset gain slope.

[0094] In a possible way, the preset noise figure model is obtained through the following method: determining the noise figure spectra of the channels to be modeled of the optical amplifier of the same model as the optical amplifier at different preset gains and preset gain slopes. The channels to be modeled are determined based on the spectral range of the optical amplifier. The noise figure spectra include the single-wave noise figure of each channel to be modeled and / or the average noise figure of all channels to be modeled; performing polynomial fitting based on the noise figure spectra to obtain a polynomial fitting function, and determining the polynomial fitting function as the preset noise figure model.

[0095] Exemplarily, since the noise figure has no monotonic correlation with the wavelength information, the ripple shape of the noise figure at different wavelengths completely depends on the device spectral shape and does not have polynomial characteristics. When performing channel-level simulation, polynomial fitting of the noise figure should be performed for all channels separately.

[0096] Exemplarily, the preset noise figure model of the embodiments of the present disclosure is applicable to both the noise figure modeling of the combined-wave OSNR and the noise figure modeling of the single-wave OSNR. When performing combined-wave noise figure modeling, the test data is fitted using the average noise figure of all channels as shown in Figure 9 When performing single-wave noise figure modeling, the noise figure of each single channel is used for fitting.

[0097] Exemplarily, according to tests, the noise figure is negatively correlated with the cube of the preset gain and positively correlated with the square or cube of the preset gain slope. Therefore, a binary cubic polynomial can be selected for fitting, and the polynomial can be specifically selected according to the actual situation. The present disclosure does not limit this.

[0098] Exemplarily, the above polynomial fitting function can be expressed as the following function:

[0099] NF(Gain,Tilt,v n )

[0100] =k0(v n )+k1(v n )·Gain+k2(υ n )·Gain 2 +k3(υ n )·Gain 3 +k4(v n )·Tilt+k5(v n )·Tilt 2 +k6(υ n )·Tilt 3 +k7(υ n )·Gain 2 ·Tilt+k8(υ n )·Gain·Tilt 2 +k9(v n )·Gain·Tilt

[0101] wherein, v n represents the channel frequency of the channel to be modeled, Gain represents the preset gain, Tilt represents the preset gain slope, k0(υ n )-k9(v n ) represent the fitting parameters corresponding to the channel to be modeled, and NF(Gain,Tilt,v n ) represents the noise figure of the channel to be modeled under the preset gain Gain and the preset gain slope Tilt.

[0102] Furthermore, the fitting parameters of the noise figure models with different channel frequencies as shown Figure 10 are obtained. Furthermore, the corresponding fitting parameters can be selected according to different channel frequencies to be measured, and the target noise figure model can be determined in combination with the preset gain slope and the preset gain.

[0103] It should be noted that during fitting, multiple sampling tests can be performed on optical amplifiers of the same model, and the test data of multiple optical amplifiers of the same model can be put into the same dataset for fitting, so as to achieve a certain degree of mean regression of device differences.

[0104] In a possible way, determining a target relative gain model from a preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier includes: when there is a relative gain model corresponding to the frequency of the channel to be measured in the preset relative gain model, determining the target relative gain model from the preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier. Determining the target channel gain based on the target relative gain model and the preset gain of the optical amplifier includes: determining a first relative gain based on the target relative gain model, and determining the sum of the first relative gain and the preset gain as the target channel gain.

[0105] Exemplarily, when there is a relative gain model corresponding to the frequency of the channel to be measured in the preset relative gain model, that is, the fitting parameter corresponding to the frequency of the channel to be measured can be found from the fitting parameters of the relative gain models of different channel frequencies as shown in Figure 7 . That is to say, when the channel frequency of the system is the same as the channel frequency divided during modeling, the target relative gain model can be directly determined according to the frequency of the channel to be measured and the preset gain slope. Adding the calculated relative gain to the preset gain can obtain the target channel gain.

[0106] Similarly, if the fitting parameter corresponding to the frequency of the channel to be measured can be found from the fitting parameters of the noise figure models of different channel frequencies as shown in Figure 10 , the target noise figure model can also be directly determined according to the frequency of the channel to be measured, the preset gain, and the preset gain slope.

[0107] It should be noted that although the above method of directly determining the target relative gain model and the target noise figure model can improve the efficiency of determining the optical signal-to-noise ratio of the system, in practical applications, usually not all channel frequencies are fitted.

[0108] Therefore, in a possible way, determining a target relative gain model from a preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier includes: when there is no relative gain model corresponding to the frequency of the channel to be measured in the preset relative gain model, determining a first relative gain model and a second relative gain model with adjacent frequencies from the preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier, where the frequency of the channel to be measured is greater than the first frequency corresponding to the first relative gain model and less than the second frequency corresponding to the second relative gain model. Determining the target channel gain based on the target relative gain model and the preset gain of the optical amplifier includes: determining a second relative gain based on the first relative gain model and the second relative gain model, and determining the sum of the second relative gain and the preset gain as the target channel gain.

[0109] Exemplarily, Figure 7The corresponding relative gain model is frequency-divided at 100 GHz. If a non-100 GHz integer wavelength appears, the ripple values at adjacent integer 100 GHz can be calculated and the linear value can be taken. For example, the first frequency difference can be determined by subtracting the first frequency from the target channel frequency, and the second frequency difference can be determined by subtracting the first frequency from the second frequency. Then, the ratio of the first frequency difference to the second frequency difference can be determined, and the difference between the relative gain corresponding to the first relative gain model and the relative gain corresponding to the second relative gain model can be determined. Finally, the difference is multiplied by the ratio and added to the second relative gain to obtain the second relative gain. Adding the calculated relative gain to the preset gain can obtain the target channel gain.

[0110] Exemplarily, specific numerical values are combined for the embodiment description. For example, in a 75 GHz interval system, for a channel with a center frequency of 196.025 THz, Gain tareget = 15, Tilt target = 4, the Gain.Ripple of analytical formula 196.1 is 2.5 dB, and the Gain.Ripple of analytical formula 196.0 is 2.3 dB. Then, the Gain.Ripple of 196.025 is taken as 2.3 dB + (2.5 dB - 2.3 dB)·[(196.025 THz - 196 THz) / (196.1 THz - 196 THz)] = 2.3 dB + 0.2 dB·0.25 = 2.35 dB.

[0111] In a possible way, the target noise coefficient model is determined from the preset noise coefficient model according to the frequency of the channel to be measured, the preset gain of the optical amplifier, and the preset gain slope, including: determining the first noise coefficient model from the preset noise coefficient model according to the first frequency, the preset gain of the optical amplifier, and the preset gain slope, and determining the second noise coefficient model from the preset noise coefficient model according to the second frequency, the preset gain of the optical amplifier, and the preset gain slope. Determining the target noise coefficient based on the target noise coefficient model includes: determining the target noise coefficient based on the first noise coefficient model and the second noise coefficient model.

[0112] Exemplarily, Figure 10 The corresponding noise coefficient model is frequency-divided at 100 GHz. If a non-100 GHz integer wavelength appears, the noise coefficients at adjacent integer 100 GHz can be calculated and the linear value can be taken. The specific calculation process can refer to the process of calculating the second relative gain, which will not be elaborated herein.

[0113] Thus, it is possible to calculate the relative gain and noise coefficient corresponding to all channel frequencies without fitting all channel frequencies.

[0114] In the above content, there is the following corresponding relationship between the input and output ASE noise levels of the optical amplifier, that is, the power within the 12.5 GHz equivalent bandwidth:

[0115] P out.ase (v n ) = Gain(v n )·P in.ase (v n ) + P add.ase (υ n )

[0116] The noise figure NF can be defined as:

[0117]

[0118] From this, it can be determined

[0119] Substituting the ase level as the power within the 12.5 GHz equivalent bandwidth, we get:

[0120]

[0121] If both sides are divided by [Gain(v n )·P in.signal (υ n )], we get

[0122]

[0123] We further obtain the following calculation formula:

[0124]

[0125] Finally, we get:

[0126]

[0127] We can define OSNR deg (v n ) to represent the degradation degree of the optical amplifier:

[0128]

[0129] Taking the reciprocal, we get the following calculation formula:

[0130]

[0131] Finally, we get the calculation formula for the output optical signal-to-noise ratio of the optical amplifier:

[0132]

[0133] Among them, all the parameters in the above formula are linear values, not dB values, OSNR out and OSNR in are used to represent the OSNR based on ASE noise. Nonlinear noise is not considered here. The OSNR in the above formula deg (υ n ) is also calculated based on ASE noise. P out.ase (υ n ) is the ASE power within 12.5 GHz output by the EDFA, Gain(υ n ) is the gain, P in.ase (υ n ) is the ASE power within 12.5 GHz input to the EDFA, h is Planck's constant, i.e., 6.626E-34 J·s, v n is the frequency of the channel to be measured, B is the equivalent noise bandwidth, i.e., 12.5 GHz, NF(v n ) is the noise figure, P in.signal (υ n ) is the single-channel pure signal power input to the EDFA, P out.signal (υ n ) is the single-channel pure signal power output by the EDFA.

[0134] In a possible way, according to the input optical signal-to-noise ratio of the optical fiber communication system and the degradation degree of the optical signal-to-noise ratio of each optical amplifier stage, the optical signal-to-noise ratio of the optical fiber communication system is determined, including: performing reciprocal summation on the input optical signal-to-noise ratio of the optical fiber communication system and the degradation degree of the optical signal-to-noise ratio of each optical amplifier stage to obtain a first sum value, and determining the reciprocal of the first sum value as the optical signal-to-noise ratio of the optical fiber communication system.

[0135] Exemplarily, the OSNR deg calculation formula can be further extended to a cascaded calculation formula:

[0136]

[0137] Among them, the above parameters are all linear values. OSNR initial (υ n ) is the OSNR before entering the first-stage optical amplifier, which can be a default value. OSNR deg.stageN (υ n ) is the OSNR introduced by the Nth-stage optical amplifier deg , and OSNR stageN (υ n ) is the OSNR output by the Nth-stage optical amplifier, that is, the optical signal-to-noise ratio of the optical fiber communication system.

[0138] In a possible way, determining the channel frequency to be measured includes: when the optical signal-to-noise ratio of the optical fiber communication system is the point-to-point combined optical signal-to-noise ratio, determining the average channel frequency of the optical fiber communication system as the channel frequency to be measured. Determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure, includes: determining the average channel pure signal input power of the optical amplifier based on the channel frequency to be measured and the target parameter information of the optical amplifier, and determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the average channel pure signal input power, the target channel gain, and the target noise figure.

[0139] Exemplarily, for the combined wave OSNR calculation of point-to-point networking as Figure 11 shown, when determining the channel frequency to be measured by taking the average channel frequency of the optical fiber communication system as the channel frequency to be measured, after calculating the average channel pure signal input power of each stage of EDFA and the noise figure corresponding to the combined wave, the optical signal-to-noise ratio degradation degree of this stage of EDFA can be obtained. Furthermore, the reciprocals of the OSNR deg of each stage can be summed, and the reciprocals of the initial OSNR initial can be summed to obtain the point-to-point combined wave OSNR, that is, the average OSNR.

[0140] It should be noted that when calculating the combined wave OSNR, the average channel frequency is used when selecting the preset relative gain model, and when selecting the preset noise figure model, the noise figure model fitted to the combined wave can be directly selected.

[0141] In a possible way, determining the channel frequency to be measured includes: when the optical signal-to-noise ratio of the optical fiber communication system is the point-to-point single optical signal-to-noise ratio or the mesh network single optical signal-to-noise ratio, determining the channel center frequency of the channel to be measured as the channel frequency to be measured. Determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure, includes: when the optical signal-to-noise ratio of the optical fiber communication system is the point-to-point single optical signal-to-noise ratio, determining the single-channel pure signal input power of the channel to be measured in the optical amplifier based on the channel frequency to be measured and the target parameter information of the optical amplifier, and determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the single-channel pure signal input power of the channel to be measured, the target channel gain, and the target noise figure; when the optical signal-to-noise ratio of the optical fiber communication system is the mesh network single optical signal-to-noise ratio, determining the single-channel input power of the channel to be measured in the optical amplifier based on the channel frequency to be measured and the target parameter information of the optical amplifier, and determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the single-channel input power of the channel to be measured, the target channel gain, and the target noise figure.

[0142] Exemplarily, for the Figure 11For the single - wavelength OSNR calculation of point - to - point networking as shown, the center frequency of the channel to be measured is determined as the frequency of the channel to be measured. After calculating the input power and noise figure of the single - channel pure signal with a specific wavelength for each stage of EDFA, the optical signal - to - noise ratio degradation degree of this wavelength at this stage of EDFA can be calculated, and then the OSNR of each stage can be deg summed reciprocally, and summed reciprocally with the initial OSNR initial summed reciprocally to obtain the single - wavelength OSNR of point - to - point networking.

[0143] Exemplarily, for the single - wavelength OSNR calculation of mesh networking as shown in Figure 12 the difference between the single - wavelength OSNR calculation of mesh networking and that of point - to - point networking is that the channel path of point - to - point networking is fixed, while there are different channel paths in mesh networking.

[0144] In a possible way, according to the input optical signal - to - noise ratio of the optical fiber communication system and the optical signal - to - noise ratio degradation degree of each stage of optical amplifier, determining the optical signal - to - noise ratio of the optical fiber communication system includes: when the optical signal - to - noise ratio of the optical fiber communication system is the single - wavelength optical signal - to - noise ratio of the mesh network, determining at least one optical amplifier from each stage of optical amplifier according to the target channel path; and determining the optical signal - to - noise ratio of the optical fiber communication system according to the input optical signal - to - noise ratio of the optical fiber communication system and the optical signal - to - noise ratio degradation degree of at least one optical amplifier.

[0145] Exemplarily, for the single - wavelength OSNR calculation of mesh networking as shown in Figure 12 in mesh networking, the channel paths of different channels are inconsistent, and the source, destination, and the EDFA sites passed through may all be inconsistent. It is necessary to first obtain the path of each channel, including all EDFAs passed through by the channel to be measured. After calculating the input power and noise figure of the single - channel with a specific wavelength for each stage of EDFA, the optical signal - to - noise ratio degradation degree of this wavelength at this stage of EDFA can be calculated, and then the OSNR of each stage can be deg summed reciprocally, and summed reciprocally with the initial OSNR initial summed reciprocally to obtain the single - wavelength OSNR of mesh networking.

[0146] In a possible way, according to the frequency of the channel to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure, determining the optical signal - to - noise ratio degradation degree of the optical amplifier includes:

[0147] Determining the optical signal - to - noise ratio degradation degree of the optical amplifier based on the following calculation formula:

[0148]

[0149] where, υ n represents the frequency of the channel to be measured, h represents Planck's constant, B represents the equivalent noise bandwidth, Gain(υ n) represents the target channel gain, NF(v n ) represents the target noise figure determined based on the target noise figure model, OSNR deg (v n ) represents the degree of optical signal-to-noise ratio degradation. When the optical signal-to-noise ratio of the optical fiber communication system is the optical signal-to-noise ratio of the point-to-point combined light, υ n is the average channel frequency of the optical amplifier, P in (υ n ) represents the average channel pure signal input power of the optical amplifier determined based on the target parameter information. When the optical signal-to-noise ratio of the optical fiber communication system is the optical signal-to-noise ratio of the point-to-point single light, v n is the channel center frequency of the channel to be measured, P in (v n ) represents the single-channel pure signal input power of the channel to be measured determined based on the target parameter information. When the optical signal-to-noise ratio of the optical fiber communication system is the optical signal-to-noise ratio of the mesh network single light, v n is the channel center frequency of the channel to be measured, P in (v n ) represents the single-channel input power of the channel to be measured determined based on the target parameter information.

[0150] Exemplarily, the embodiments of the present disclosure can be applied to the calculation of the optical signal-to-noise ratio of point-to-point network combined light, and can also be applied to the calculation of the optical signal-to-noise ratio of single light in point-to-point network or mesh network.

[0151] For the scenario of calculating the optical signal-to-noise ratio of point-to-point network combined light, P in (υ n ) is the average channel pure signal input power P in.avgsignal (υ n ), and what the management device usually collects is the total input power and total output power of the EDFA, that is, the sum of the power of the service channels and the ASE noise power in the full-band range.

[0152] Therefore, in a possible way, the average channel pure signal input power of the optical amplifier is determined as follows: determining the full-band input noise power and total input power of the optical amplifier; dividing the difference between the total input power and the full-band input noise power of the optical amplifier by the number of service channels of the optical amplifier to obtain the average channel pure signal input power of the optical amplifier, and the number of service channels includes the number of false channels; wherein, the target parameter information further includes the total input power and the number of service channels.

[0153] Exemplarily, the difference between the total input power and the full-band input noise power of the optical amplifier can be divided by the number of service channels of the optical amplifier to obtain the average channel pure signal input power of the optical amplifier.

[0154] Among possible ways, determining the full-band input noise power of an optical amplifier includes: when the optical amplifier is the first-stage optical amplifier of an optical fiber communication system, determining that the full-band input noise power of the optical amplifier is 0; when the optical amplifier is other-stage optical amplifiers of the optical fiber communication system except the first-stage optical amplifier, determining the average output noise power and the total output power of the previous-stage optical amplifier of the optical amplifier, subtracting the total input power of the optical amplifier from the total output power of the previous-stage optical amplifier to obtain a first difference, and subtracting the first difference from the average output noise power to obtain a second difference, multiplying the ratio of the frequency range of the optical amplifier to the equivalent noise bandwidth by the second difference to obtain the full-band input noise power of the optical amplifier.

[0155] Among them, determining the average output noise power of the previous-stage optical amplifier of the optical amplifier includes: determining the average input noise power, the average additional noise power and the preset gain of the previous-stage optical amplifier; adding the product of the average input noise power of the previous-stage optical amplifier and the preset gain to the average additional noise power to obtain the average output noise power of the previous-stage optical amplifier.

[0156] Exemplarily, since ASE noise accumulates in each stage of the amplifier, it is necessary to start the calculation from the first-stage EDFA in a point-to-point network and recursively calculate to the last-stage EDFA. As the input parameters for the calculation, the total input power, the total output power, the preset gain and the preset gain slope of each stage of EDFA can be collected through a management device. Among them, the input of the first-stage EDFA can approximately ignore the ASE noise, that is, the full-band input noise power of the first-stage optical amplifier is 0, and the total input power of the input EDFA is the sum of the pure signal powers of all service channels, EDFA in.signal.stage1 dBm .

[0157] Exemplarily, assuming that the system has M service channels, the average pure signal input power P of the first-stage EDFA in.avgsignal.stage1 dBm is:

[0158] P in.avgsignal.stage1 dBm = EDFA in.signal.stage1 dBm - 10·lgM

[0159] Furthermore, according to the following calculation formula, determine the equivalent bandwidth power (which can take 12.5 GHz) of the EDFA to output the ASE noise level, that is, the average output noise power P out.avgase (υ n ):

[0160] P out.avgase (v n ) = Gain target ·P in.ase (vn ) + P add.avgase (v n )

[0161] Since there is no ASE noise at the input of the first-stage EDFA, the ASE noise level at the output of the first-stage EDFA (average 12.5 GHz level in the 4.8 THz range of the entire band) P out.avgase.stage1 mW is:

[0162]

[0163] where NF avg.stage1 (Gain target , Tilt target ) is the average NF of the entire band, and stage1 represents the first-stage optical amplifier.

[0164] Furthermore, calculate the input ASE noise level of the second-stage EDFA (average 12.5 GHz level in the 4.8 THz range of the entire band) P in.ase.stage2 dBm , that is, the above second difference, which is the ASE noise level at the output of the first stage minus the total output power of the first-stage EDFA EDFA out.total.stage1 dBm to the total input power of the second-stage EDFA EDFA in.total.stage2 dBm The span loss, and the span loss is the above first difference:

[0165] P in .avgase .stage2 dBm

[0166] = P out.avgase.stage1 dBm - (EDFA out.total.stage1 dBm - EDFA in.total.stage2 dBm )

[0167] Then calculate the total-band ASE noise power at the input of the second-stage EDFA. Multiply the ratio obtained by dividing the frequency range of the second-stage EDFA by the equivalent noise bandwidth by the second difference. Taking the C band of 4.8 THz as an example, multiply by 4800 / 12.5 = 384:

[0168] P in.ase.stage2(4.8THz) mW = 384·P in.avg.ase.stage2 mW

[0169] where P in.ase.stage2(4.8THz) mWRepresents the full-band input noise power of the second-stage EDFA, and stage2 represents the second-stage optical amplifier.

[0170] Furthermore, determine the sum of the pure signal powers of the second-stage optical amplifier, EDFA in.signal.stage2 mW For

[0171] EDFA in.signal.stage2 mW = EDFA in.total.stage2 mW - P in.ase.stage2(4.8THz) mW

[0172] Wherein, EDFA in.total.stage2 mW represents the total input power of the second-stage EDFA.

[0173] Then the average channel pure signal input power of the M service channels of the second-stage optical amplifier is:

[0174]

[0175] Continue to calculate the output ASE noise level of the second-stage EDFA as:

[0176]

[0177] By analogy, the average channel pure signal input power and the sum of the pure signal powers of all channels of each stage of EDFA can be obtained until the last stage of EDFA. Thus, the optical signal-to-noise ratio degradation degree of each stage of EDFA can be calculated, and then the average OSNR of the end multiplexing can be calculated through the cascade calculation formula.

[0178] For the optical signal-to-noise ratio calculation scenario of a single wave in a point-to-point network, referring to the process of multiplexing calculation, after calculating the 4.8 THz noise power of each stage of optical amplifier, then calculate the pure signal power EDFA of each stage of EDFA in.signal.stageN . Among them, the optical channel monitor in the amplifier board generally monitors the output of the EDFA. The optical channel monitor can measure the output through optical splitting and then calculate the total output power according to the splitting ratio error. Therefore, there may be an error between the total output power of the optical channel monitor and the total output power of the EDFA, and calibration is required.

[0179] Among possible ways, when the optical signal-to-noise ratio of an optical fiber communication system is the point-to-point single-wave optical signal-to-noise ratio, the single-channel pure signal input power of the channel to be measured is determined in the following way: Obtain the channel output power of each service channel of the optical amplifier. The service channels include dummy channels, and the channel to be measured is any one of the service channels; for each service channel among the service channels, determine the third relative gain according to the relative gain model corresponding to the channel center frequency of the service channel and the preset gain slope of the optical amplifier, and subtract the preset gain of the optical amplifier and the third relative gain from the channel output power of the service channel to obtain the first channel input power of the service channel; sum the first channel input powers of all service channels and then subtract the average channel pure signal input power of the optical amplifier to obtain the first calibration error; subtract the first calibration error from the first channel input power of the channel to be measured to obtain the single-channel pure signal input power of the channel to be measured.

[0180] Exemplarily, assume that a total of M service channels are configured in the system. If dummy channels are configured, they are also included in the calculation. Obtain the channel output power of each service channel of the optical amplifier, that is, sweep the spectrum through the output end of the EDFA by an optical channel monitor. Taking a 4.8 THz C-band system with a channel spacing of 100 GHz and 48 channels as an example, and there are M service channels in total, the optical channel monitor needs to sweep the channel output powers P out.ocm.channel (v1) to P out.ocm.channel (υ M ) of M service channels.

[0181] Exemplarily, for each service channel among the service channels, subtract the preset gain Gain out.ocm.channel (υ n ) and the relative gain Gain.Ripple(υ target ) from the channel output power P n ) of this service channel, and the first channel input power P dB (v in.channel.raw ) before calibration can be obtained: n ):

[0182] P in.channel.raw (v n ) dBm =P out.ocm.channel (v n ) dBm -Gain target dB -Gain.Ripple(v n ) dB

[0183] Exemplarily, after summing up M channels linearly (i.e., mW), the average channel pure signal input power EDFA of the optical amplifier is determined according to the above multiplexing calculation process for the total input power of the EDFA reported by the management device in.signal dBm Then, find the difference to obtain the calibration error P in.offset :

[0184]

[0185] It should be noted that in the above formula, EDFA in.signal dBm is the pure signal input power of the EDFA after deducting the full-band ASE noise power. Then, subtract the calibration error from the channel input power P in.channel.raw (υ n ) dBm before calibrating the channel to be measured, and the calibrated single-channel pure signal input power P in.signal.calibrated (v n ) dBm :

[0186] P in.signal.calibrated (υ n ) dBm = P in.channel.raw (υ n ) dBm - P in.offset dB

[0187] By analogy, the single-channel pure signal input power of the channel to be measured for each stage of the EDFA can be obtained until the last stage of the EDFA. That is, in the scenario of calculating the single-channel optical signal-to-noise ratio of point-to-point optical communication, P in (υ n ) is the single-channel pure signal input power P in.signal.calibrated (v n ). Thus, the degree of optical signal-to-noise ratio degradation of each stage of the EDFA can be calculated, and then the end single-channel OSNR can be calculated through the cascade calculation formula

[0188] For the scenario of calculating the optical signal-to-noise ratio of a single wavelength in a mesh network, the process of calculating the optical signal-to-noise ratio of a single wavelength in a point-to-point network can be referred to. The difference is that all service channels in a point-to-point network are from the same source and destination, while the source and destination of the channel paths in a mesh network are inconsistent. Therefore, the service bandwidth in each optical multiplexing section is different, that is, the number of service channels is different. There may be channels passing through from different directions in the same optical multiplexing section. Therefore, the previous ASE noise levels are all inconsistent, and it is impossible to uniformly subtract the full-band ASE noise power for each span

[0189] Among possible methods, when the optical signal-to-noise ratio of an optical fiber communication system is the single-wave optical signal-to-noise ratio of a mesh network, the single-channel input power of the channel to be measured is determined as follows: Detect the channel output power of all channels of the optical amplifier. All channels include service channels and idle channels. Service channels include dummy channels. The channel to be measured is any one of the service channels. For each target channel in all channels, determine the fourth relative gain according to the relative gain model corresponding to the channel center frequency of the target channel and the preset gain slope of the optical amplifier, and subtract the preset gain of the optical amplifier and the fourth relative gain from the channel output power of the target channel to obtain the second channel input power of the target channel. Sum the second channel input powers of all target channels and then subtract the total input power of the optical amplifier to obtain the second calibration error. Among them, the target parameter information also includes the total input power. Subtract the second calibration error from the second channel input power of the channel to be measured to obtain the single-channel input power of the channel to be measured.

[0190] Exemplarily, when sweeping the spectrum through the output end of the EDFA by an optical channel monitor, all service channels and idle channels need to be included in the calculation. For example, the system is a C-band 4.8 THz system with a channel spacing of 100 GHz and 48 channels. There are N service channels in total. Even if the system is not fully configured (N < 48), it should be ensured that the optical channel monitor sweeps the powers of all idle channels and dummy channels, that is, sweeps the powers P out.ocm.channel (v1) to P out.ocm.channel (v 48 ) of 48 channels.

[0191] Exemplarily, similar to the single-wave calculation process of point-to-point networking, for each channel in all channels, subtract the preset gain and relative gain from the channel output power of the service channel to obtain the second channel input power before calibration. The difference is that the second single-channel input powers before calibration of 48 channels are obtained. Since the mesh network cannot deduct the full-band ASE recursively from the same source and the same destination across each span, after linearly summing all channels, the difference is calculated with the total input power of the EDFA reported by the management device, that is, the calibration error P in.offset :

[0192]

[0193] It should be noted that all idle channels can be filled with dummy channels, which can minimize the difference between the total power of the input signal plus noise of each stage of the EDFA and the pure signal power input to each stage of the EDFA.

[0194] Furthermore, subtract the above calibration error P in.channel.raw (υ n ) mW from the P in.offset before calibration to obtain the single-channel input power P in.channel(v n ).

[0195] It is worth noting that in mesh networking OSNR deg When cascading, the P of all optical amplifiers in.channel Without knowing the exact order of the channel paths, the P in.channel After each is calculated independently, the OSNR is calculated separately deg , also known as OSNR deg The calculation of is completely distributed, without the need for a complex recursive calculation process from source to sink. It should be understood that in the scenario of calculating the single-wavelength optical signal-to-noise ratio of the mesh network, P in (v n ) is the single channel input power P in.channel (v n ), the OSNR of each EDFA deg After distributed calculation, the OSNR of all nodes passing through the channel path is calculated. deg Just count down and sum it.

[0196] The benefit of distributed computing is that OSNR deg The calculation is delegated to the network element, allowing the management device to periodically scan the optical channel monitor and calculate the OSNR. deg , which can greatly alleviate the pressure of management equipment collection and calculation and enhance the real-time performance of OSNR updates.

[0197] In addition, the embodiments of the present disclosure can simulate and calculate the optical signal-to-noise ratio of the pseudo-channel of the system, and thus can evaluate the performance of the pseudo-channel.

[0198] It is worth noting that the real-time OSNR simulation data of the embodiment of the present disclosure can be used for OSNR optimization of the system, such as overall tuning of the full-band OSNR, OSNR flatness equalization tuning, etc. In addition, the OSNR can be tuned at the initial stage of system commissioning, or after changes such as optical cable splicing, system expansion / reduction, etc., which is not specifically limited in the present disclosure.

[0199] It is worth noting that, in the early stage of system opening, if the service bandwidth is small, the idle spectrum other than the true wave can be filled with a pseudo wave channel, and the optical signal-to-noise ratio simulation calculation of the embodiment of the present disclosure can be applied to the simulation calculation of the optical signal-to-noise ratio of the pseudo wave channel, so the pseudo wave channel can also be regarded as a true wave, and OSNR tuning can be performed together with the true wave. In this way, when the system is expanded, the true wave can be directly used to replace the pseudo wave, and the power of the true wave entering the first-level EDFA is made consistent with the original pseudo wave, so that when expanding the wave, there is no need to perform OSNR equalization tuning on the newly expanded true wave, thereby improving the network expansion efficiency.

[0200] In a possible way, the method further includes: performing a reciprocal summation on the input optical signal-to-noise ratio of the optical fiber communication system and the degree of optical signal-to-noise ratio degradation of the first-stage optical amplifier to the i-th stage optical amplifier to obtain a second sum value, and determining the reciprocal of the second sum value as the optical signal-to-noise ratio of the first-stage optical amplifier to the i-th stage optical amplifier, where i is a positive integer.

[0201] Exemplarily, the OSNR of a certain stage optical amplifier in the intermediate span can also be calculated according to requirements, that is, the reciprocal can be obtained after calculating the sum of 1 / OSNR from stage1 to this stage of optical amplifier deg and then taking the reciprocal.

[0202] Therefore, the embodiments of the present disclosure can calculate the OSNR of multiplexed or single-wave signals on each stage of optical amplifier, which is more intuitive during actual operation and maintenance, and can more clearly show the degree of OSNR degradation of each section of optical cable. Therefore, during system optimization and optical cable optimization, it is more helpful for operation and maintenance personnel to sort according to importance and first optimize the line of the span with the largest OSNR degradation.

[0203] It should be noted that for the OSNR calculation of a point-to-point multiplexed in-line optical fiber communication system deg the input parameters include the total EDFA power, the number of channels, the preset gain Gain target , the preset gain slope Tilt target , and all the above simulation input parameters in the system can be collected by the device controller through timed polling. Among them, optical power, etc. can be reported at the second level using Telemetry (telemetry technology), and the present disclosure does not limit this.

[0204] After the Gain.Ripple and NF fitting modeling, the original fitting modeling parameters should be input into the back end of the controller. After the back end of the controller retrieves the corresponding modeling parameters according to the optical amplifier model, it performs parsing and calculation according to the input parameters Gain target , Tilt target .

[0205] In the OSNR calculation of point-to-point and mesh network single-wave in-line optical fiber communication systems deg the collection of the total EDFA power, the preset gain Gain target , the preset gain slope Tilt target is the same as that of multiplexing, and can be collected by timed polling or Telemetry. For the channel-level input parameter P in.channel (v n ) it is necessary to scan the output spectrum of the EDFA. It takes about hundreds of milliseconds for the optical channel monitor to scan the full-band spectrum once. Therefore, if the single-wave simulation uses a polling with too fine a time granularity, it will cause great pressure on the optical channel monitor. It can be set to manually trigger RPC collection or use a polling mechanism by hour or by day.

[0206] It should be noted that since all input parameters are collected in real time from network elements through a controller, when the line deteriorates and the spectrum fluctuates, the real-time change of OSNR can be obtained. For a mesh network, when an individual span is interrupted, causing a batch of wavelengths to drop in other spans, the real-time OSNR can also be calculated based on the real-time spectrum and total power changes, without affecting the simulation of the channels in the non-interrupted OMS (Optical Multiplex Section) spans. Therefore, the optical signal-to-noise ratio determination method provided by the embodiments of the present disclosure is very suitable for the real-time OSNR simulation of the system.

[0207] In the embodiments of the present disclosure, the relative gain difference between different channels of an optical amplifier is independent of the absolute value of the gain and is related to the gain slope. When calculating P in.channel (υ n ) and OSNR deg , calibration calculation of P in.channel (υ n ) will be performed according to the total input power of the EDFA. Therefore, the calculation process pays more attention to the relative gain difference between channels, and the absolute value of the gain can be calibrated. Therefore, when modeling, there is no need to pay attention to the absolute gain of each channel, but only to the relative gain between channels. Therefore, only the gain shape, that is, Gain.Ripple, needs to be modeled. Modeling the gain spectrum based on Ripple is simple and has strong repeatability. The noise figure model uses polynomial fitting, which can achieve a high fitting degree and prediction accuracy. For example, using a binary third-order polynomial can better balance the fitting complexity, fitting degree, and prediction error.

[0208] It should be noted that the embodiments of the present disclosure are also applicable to the few-wavelength scenario. Since the all-band ASE noise power accounts for a relatively high proportion in the total power of the EDFA, if the all-band ASE power is not deducted in the few-wavelength scenario, there will be a large simulation error. The point-to-point multiplexing / single-wavelength simulation calculations in the embodiments of the present disclosure all consider the error impact caused by the relatively high proportion of ASE in the few-wavelength scenario and correct the error, that is, the total all-band ASE noise power of each stage of the EDFA is calculated recursively for each span and subtracted to obtain the pure signal power of the EDFA. Therefore, the point-to-point model can well cover the few-wavelength networking scenario, such as DWDM systems with relatively small total bandwidths in ToB (To Business) services, CDN (Content Delivery Network) services, etc., and achieve a high simulation accuracy in the few-wavelength scenario.

[0209] For the input spectrum P of the EDFA in.channelThe calculation is based on the output spectrum and Gain.Ripple to inversely deduce the relative power, and the absolute power calibration calculation is performed according to the total input power of the EDFA. The simulation calculation of the embodiments of the present disclosure does not require modeling of the optical fiber. Therefore, there is no need to pay attention to the engineering errors of the optical fiber, nor to the errors caused by the connection fiber loss differences between the C-band board and the L-band board. Moreover, the modeling is based on the EDFA module or VGA module within the optical amplifier board, and there is no need to pay attention to the hardware differences in the inherent insertion loss within the board.

[0210] The modeling and simulation calculation process of the embodiments of the present disclosure is applicable to various DWDM networking scenarios such as point-to-point networking and mesh networking, with strong versatility. And all the input parameters are collected in real time from the network elements through the controller or management device. When the line deteriorates and the spectrum fluctuates, the real-time change of the OSNR can be obtained; for mesh networking, when individual spans are interrupted and cause a batch of channels to drop in other paragraphs, the real-time OSNR can also be calculated according to the real-time spectrum and total power changes, without affecting the simulation of the channels in the non-interrupted paragraphs, realizing the real-time OSNR simulation of the system. And the present disclosure can be applied to optical fiber communication systems in the C band, L band, C+L band or other bands, and the present disclosure is for the modeling and calculation of a pure optical layer system, without any coordination of the electrical layer, and is applicable to the scenario of hybrid networking of different optical and electrical manufacturers. And it can simulate and calculate the optical signal-to-noise ratio of false channels, improving the network expansion efficiency.

[0211] Based on the same concept, the embodiments of the present disclosure provide an optical signal-to-noise ratio determination device for an optical fiber communication system, as Figure 13 shown. The optical signal-to-noise ratio determination device 130 of the optical fiber communication system includes:

[0212] An acquisition module 131, configured to obtain target parameter information of each level of optical amplifier in the optical fiber communication system during the operation of the optical fiber communication system, and determine the frequency of the channel to be measured, where the target parameter information includes the preset gain and preset gain slope of the optical amplifier;

[0213] The first determination module 132 is configured to, for each optical amplifier in each stage of optical amplifiers, determine a target relative gain model from a preset relative gain model according to the to-be-measured channel frequency and the preset gain slope of the optical amplifier, determine a target channel gain based on the target relative gain model and the preset gain of the optical amplifier, determine a target noise figure model from a preset noise figure model according to the to-be-measured channel frequency, the preset gain and the preset gain slope of the optical amplifier, determine a target noise figure based on the target noise figure model, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the to-be-measured channel frequency, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure. Both the preset relative gain model and the preset noise figure model are modeled based on optical amplifiers of the same type as the optical amplifier under different preset gains and preset gain slopes;

[0214] The second determination module 133 is configured to determine the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degrees of each stage of optical amplifiers.

[0215] Optionally, the optical signal-to-noise ratio determination device 130 of the optical fiber communication system further includes a first modeling module, and the first modeling module is configured to:

[0216] Determine the actual gain spectrum of the to-be-modeled channel of the optical amplifier of the same type as the optical amplifier under different preset gains and preset gain slopes, and determine the average gain of the actual gain spectrum. The to-be-modeled channel is determined based on the spectral range of the optical amplifier;

[0217] Determine the difference between each actual gain in the actual gain spectrum and the average gain to obtain the relative gain spectrum of the to-be-modeled channel;

[0218] Perform linear fitting on the relative gain spectrum to obtain a linear fitting function, and determine the linear fitting function as the preset relative gain model;

[0219] Wherein, the independent variable of the linear fitting function is the preset gain slope, the constant of the linear fitting function is the fitting parameter corresponding to the to-be-modeled channel, and the dependent variable of the linear fitting function is the relative gain of the to-be-modeled channel varying with the preset gain slope.

[0220] Optionally, the optical signal-to-noise ratio determination device 130 of the optical fiber communication system further includes a second modeling module, and the second modeling module is configured to:

[0221] Determine the noise coefficient spectra of the channels to be modeled of optical amplifiers of the same model as the optical amplifier at different preset gains and preset gain slopes. The channels to be modeled are determined based on the spectral range of the optical amplifier. The noise coefficient spectra include the single-channel noise coefficients of each channel to be modeled and / or the average noise coefficient of all channels to be modeled;

[0222] Perform polynomial fitting based on the noise coefficient spectra to obtain a polynomial fitting function, and determine the polynomial fitting function as the preset noise coefficient model.

[0223] Optionally, the channels to be modeled are determined in the following manner:

[0224] Divide the spectral range of the optical amplifier based on a preset frequency interval to obtain a first preset channel;

[0225] Extend the preset frequency interval in the long-wavelength direction and the short-wavelength direction of the spectral range to obtain a second preset channel;

[0226] Determine the first preset channel and the second preset channel as the channels to be modeled.

[0227] Optionally, the first determination module 132 is used for:

[0228] When there is a relative gain model corresponding to the frequency of the channel to be measured in the preset relative gain model, determine the target relative gain model from the preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier;

[0229] Determine a first relative gain based on the target relative gain model, and determine the sum of the first relative gain and the preset gain as the target channel gain.

[0230] Optionally, the first determination module 132 is used for:

[0231] When there is no relative gain model corresponding to the frequency of the channel to be measured in the preset relative gain model, determine a first relative gain model and a second relative gain model with adjacent frequencies from the preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier, where the frequency of the channel to be measured is greater than a first frequency corresponding to the first relative gain model and less than a second frequency corresponding to the second relative gain model;

[0232] Determine a second relative gain based on the first relative gain model and the second relative gain model, and determine the sum of the second relative gain and the preset gain as the target channel gain.

[0233] Optionally, the first determination module 132 is configured to:

[0234] Determine a first noise coefficient model from a preset noise coefficient model according to the first frequency, the preset gain, and the preset gain slope of the optical amplifier, and determine a second noise coefficient model from the preset noise coefficient model according to the second frequency, the preset gain, and the preset gain slope of the optical amplifier;

[0235] Determine the target noise coefficient based on the first noise coefficient model and the second noise coefficient model.

[0236] Optionally, the acquisition module 131 is configured to:

[0237] When the optical signal-to-noise ratio of the fiber optic communication system is the point-to-point combined optical signal-to-noise ratio, determine the average channel frequency of the fiber optic communication system as the channel frequency to be measured;

[0238] The first determination module 132 is configured to:

[0239] Determine the average channel pure signal input power of the optical amplifier based on the channel frequency to be measured and the target parameter information of the optical amplifier, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the average channel pure signal input power, the target channel gain, and the target noise coefficient.

[0240] Optionally, the acquisition module 131 is configured to:

[0241] When the optical signal-to-noise ratio of the fiber optic communication system is the point-to-point single optical signal-to-noise ratio or the mesh network single optical signal-to-noise ratio, determine the channel center frequency of the channel to be measured as the channel frequency to be measured;

[0242] The first determination module 132 is configured to:

[0243] When the optical signal-to-noise ratio of the fiber optic communication system is the point-to-point single optical signal-to-noise ratio, determine the single-channel pure signal input power of the channel to be measured in the optical amplifier based on the channel frequency to be measured and the target parameter information of the optical amplifier, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the single-channel pure signal input power of the channel to be measured, the target channel gain, and the target noise coefficient;

[0244] When the optical signal-to-noise ratio of the fiber optic communication system is the mesh network single optical signal-to-noise ratio, determine the single-channel input power of the channel to be measured in the optical amplifier based on the channel frequency to be measured and the target parameter information of the optical amplifier, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the single-channel input power of the channel to be measured, the target channel gain, and the target noise coefficient.

[0245] Optionally, the optical signal-to-noise ratio determination device 130 of the optical fiber communication system further includes a third determination module, and the third determination module is configured to:

[0246] Determine the full-band input noise power and the total input power of the optical amplifier;

[0247] Divide the difference between the total input power and the full-band input noise power of the optical amplifier by the number of service channels of the optical amplifier to obtain the average channel pure signal input power of the optical amplifier, where the number of service channels includes the number of dummy channels;

[0248] Wherein, the target parameter information further includes the total input power and the number of service channels.

[0249] Optionally, the third determination module is configured to:

[0250] When the optical amplifier is the first-stage optical amplifier of the optical fiber communication system, determine that the full-band input noise power of the optical amplifier is 0;

[0251] When the optical amplifier is other-stage optical amplifiers of the optical fiber communication system except the first-stage optical amplifier, determine the average output noise power and the total output power of the previous-stage optical amplifier of the optical amplifier, subtract the total input power of the optical amplifier from the total output power of the previous-stage optical amplifier to obtain a first difference, and subtract the first difference from the average output noise power to obtain a second difference, multiply the ratio of the frequency range of the optical amplifier to the equivalent noise bandwidth by the second difference to obtain the full-band input noise power of the optical amplifier.

[0252] Optionally, the third determination module is configured to:

[0253] Determine the average input noise power, the average additional noise power and the preset gain of the previous-stage optical amplifier;

[0254] After adding the product of the average input noise power and the preset gain of the previous-stage optical amplifier to the average additional noise power, obtain the average output noise power of the previous-stage optical amplifier.

[0255] Optionally, when the optical signal-to-noise ratio of the optical fiber communication system is the point-to-point single-wave optical signal-to-noise ratio, the single-channel pure signal input power of the channel to be measured is determined by the following method:

[0256] Obtain the channel output power of each service channel of the optical amplifier, where the service channels include dummy channels, and the channel to be measured is any one of the service channels;

[0257] For each service channel among the service channels, determine a third relative gain according to the relative gain model corresponding to the channel center frequency of the service channel and the preset gain slope of the optical amplifier, and subtract the preset gain of the optical amplifier and the third relative gain from the channel output power of the service channel to obtain the first channel input power of the service channel;

[0258] Sum the first channel input powers of the service channels and then subtract the average channel pure signal input power of the optical amplifier to obtain a first calibration error;

[0259] Subtract the first calibration error from the first channel input power of the channel to be measured to obtain the single-channel pure signal input power of the channel to be measured.

[0260] Optionally, when the optical signal-to-noise ratio of the optical fiber communication system is the single-channel optical signal-to-noise ratio of the mesh network, the single-channel input power of the channel to be measured is determined by the following method:

[0261] Detect the channel output powers of all channels of the optical amplifier, where all channels include service channels and idle channels, the service channels include dummy channels, and the channel to be measured is any one of the service channels;

[0262] For each target channel among all channels, determine a fourth relative gain according to the relative gain model corresponding to the channel center frequency of the target channel and the preset gain slope of the optical amplifier, and subtract the preset gain of the optical amplifier and the fourth relative gain from the channel output power of the target channel to obtain the second channel input power of the target channel;

[0263] Sum the second channel input powers of the target channels and then subtract the total input power of the optical amplifier to obtain a second calibration error, where the target parameter information further includes the total input power;

[0264] Subtract the second calibration error from the second channel input power of the channel to be measured to obtain the single-channel input power of the channel to be measured.

[0265] Optionally, the first determination module 132 is configured to:

[0266] Perform reciprocal summation on the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degrees of each stage of optical amplifier to obtain a first sum value, and determine the reciprocal of the first sum value as the optical signal-to-noise ratio of the optical fiber communication system.

[0267] Optionally, the first determination module 132 is configured to:

[0268] When the optical signal-to-noise ratio of the optical fiber communication system is the single-wavelength optical signal-to-noise ratio of the mesh network, at least one optical amplifier is determined from the optical amplifiers at all levels according to the target wave path;

[0269] According to the input optical signal-to-noise ratio of the optical fiber communication system and the degree of optical signal-to-noise ratio degradation of the at least one optical amplifier, the optical signal-to-noise ratio of the optical fiber communication system is determined.

[0270] Based on the same concept, an embodiment of the present disclosure also provides a computer-readable medium, on which a computer program is stored, and when the program is executed by a processing device, the steps of the method for determining the optical signal-to-noise ratio of the optical fiber communication system are implemented.

[0271] Based on the same concept, an embodiment of the present disclosure also provides an electronic device, which may include:

[0272] A storage device, on which a computer program is stored;

[0273] A processing device, configured to execute the computer program in the storage device to implement the steps of the method for determining the optical signal-to-noise ratio of the optical fiber communication system.

[0274] Based on the same concept, an embodiment of the present disclosure also provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method for determining the optical signal-to-noise ratio of the optical fiber communication system are implemented.

[0275] Next, with reference to Figure 14 , which shows a schematic structural diagram of an electronic device 140 suitable for implementing an embodiment of the present disclosure. The terminal device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 14 The electronic device shown is only an example, and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure.

[0276] As Figure 14 shown, the electronic device 140 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 141, which may perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 142 or the program loaded from the storage device 148 into the random access memory (RAM) 143. In the RAM 143, various programs and data required for the operation of the electronic device 140 are also stored. The processing device 141, the ROM 142, and the RAM 143 are connected to each other through a bus 144. The input / output (I / O) interface 145 is also connected to the bus 144.

[0277] Typically, the following devices may be connected to the I / O interface 145: an input device 146 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 147 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 148 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 149. The communication device 149 may allow the electronic device 140 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 14 the electronic device 140 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0278] Specifically, according to an embodiment of the present disclosure, the process described above with reference to the flowchart may be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product that includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes program codes for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication device 149, or installed from the storage device 148, or installed from the ROM 142. When the computer program is executed by the processing device 141, the above functions defined in the method of the embodiment of the present disclosure are performed.

[0279] It should be noted that the computer-readable medium described above in this disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device. And in this disclosure, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0280] In some embodiments, communication can be carried out using any currently known or future-developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks ("LAN"), wide area networks ("WAN"), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0281] The above computer-readable medium can be included in the above electronic device; or it can exist separately without being assembled into the electronic device.

[0282] The above computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to: during the operation of the optical fiber communication system, obtain the target parameter information of each optical amplifier in the optical fiber communication system, and determine the frequency of the channel to be measured, where the target parameter information includes the preset gain and the preset gain slope of the optical amplifier; for each optical amplifier in each level of optical amplifiers, determine the target relative gain model from the preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier, determine the target channel gain based on the target relative gain model and the preset gain of the optical amplifier, determine the target noise figure model from the preset noise figure model according to the frequency of the channel to be measured, the preset gain and the preset gain slope of the optical amplifier, determine the target noise figure based on the target noise figure model, and determine the optical signal-to-noise ratio degradation degree of the optical amplifier according to the frequency of the channel to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise figure, where the preset relative gain model and the preset noise figure model are both modeled based on optical amplifiers of the same type as the optical amplifier under different preset gains and preset gain slopes; determine the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degrees of each level of optical amplifiers.

[0283] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include, but are not limited to, object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0284] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0285] The modules described in the embodiments of the present disclosure can be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0286] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. By way of example, and without limitation, the types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0287] In the context of the present disclosure, a machine-readable medium may be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0288] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.

[0289] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0290] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. On the contrary, the specific features and acts described above are merely example forms for implementing the claims. Regarding the apparatus in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be elaborated here.

Claims

1. A method for determining an optical signal-to-noise ratio of an optical fiber communication system, characterized in that: The method comprises: During the operation of the optical fiber communication system, target parameter information of optical amplifiers at various levels in the optical fiber communication system is obtained, and the frequency of the channel to be measured is determined, wherein the target parameter information includes a preset gain and a preset gain slope of the optical amplifier; For each optical amplifier in each stage of optical amplifiers, a target relative gain model is determined from a preset relative gain model according to the channel frequency to be measured and the preset gain slope of the optical amplifier, a target channel gain is determined based on the target relative gain model and the preset gain of the optical amplifier, a target noise coefficient model is determined from a preset noise coefficient model according to the channel frequency to be measured, the preset gain of the optical amplifier and the preset gain slope, a target noise coefficient is determined based on the target noise coefficient model, and a degree of optical signal-to-noise ratio degradation of the optical amplifier is determined according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain and the target noise coefficient, wherein both the preset relative gain model and the preset noise coefficient model are modeled based on an optical amplifier of the same model as the optical amplifier under different preset gains and preset gain slopes; The optical signal-to-noise ratio of the optical fiber communication system is determined according to the input optical signal-to-noise ratio of the optical fiber communication system and the degree of degradation of the optical signal-to-noise ratio of each level of optical amplifier.

2. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 1, characterized in that: The preset relative gain model is obtained in the following manner: Determine an actual gain spectrum of a channel to be modeled of an optical amplifier of the same model as the optical amplifier at different preset gains and preset gain slopes, and determine an average gain of the actual gain spectrum, wherein the channel to be modeled is determined based on the frequency spectrum range of the optical amplifier; Determine the difference between each actual gain in the actual gain spectrum and the average gain to obtain the relative gain spectrum of the channel to be modeled; Performing linear fitting based on the relative gain spectrum to obtain a linear fitting function, and determining the linear fitting function as the preset relative gain model; The independent variable of the linear fitting function is a preset gain slope, the constant of the linear fitting function is a fitting parameter corresponding to the channel to be modeled, and the dependent variable of the linear fitting function is a relative gain of the channel to be modeled as the preset gain slope changes.

3. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 1, characterized in that: The preset noise coefficient model is obtained in the following manner: Determine a noise coefficient spectrum of a channel to be modeled of an optical amplifier of the same model as the optical amplifier under different preset gains and preset gain slopes, wherein the channel to be modeled is determined based on the frequency spectrum range of the optical amplifier, and the noise coefficient spectrum includes a single-wavelength noise coefficient of each channel to be modeled and / or an average noise coefficient of all channels to be modeled; A polynomial fitting function is obtained by performing polynomial fitting based on the noise coefficient spectrum, and the polynomial fitting function is determined as the preset noise coefficient model.

4. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 2, characterized in that: The channel to be modeled is determined in the following manner: Dividing the frequency spectrum range of the optical amplifier based on a preset frequency interval to obtain a first preset channel; Extending the preset frequency interval in the long-wave direction and the short-wave direction of the spectrum range to obtain a second preset channel; The first preset channel and the second preset channel are determined as the channels to be modeled.

5. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to any one of claims 1 to 4, characterized in that: The step of determining a target relative gain model from a preset relative gain model according to the channel frequency to be measured and the preset gain slope of the optical amplifier comprises: In a case where a relative gain model corresponding to the frequency of the channel to be measured exists in the preset relative gain model, determining the target relative gain model from the preset relative gain model according to the frequency of the channel to be measured and a preset gain slope of the optical amplifier; The determining the target channel gain based on the target relative gain model and the preset gain of the optical amplifier comprises: A first relative gain is determined based on the target relative gain model, and a sum of the first relative gain and the preset gain is determined as the target channel gain.

6. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to any one of claims 1 to 4, characterized in that: The step of determining a target relative gain model from a preset relative gain model according to the channel frequency to be measured and the preset gain slope of the optical amplifier comprises: In a case where there is no relative gain model corresponding to the frequency of the channel to be measured in the preset relative gain model, determining a first relative gain model and a second relative gain model with adjacent frequencies from the preset relative gain model according to the frequency of the channel to be measured and the preset gain slope of the optical amplifier, wherein the frequency of the channel to be measured is greater than a first frequency corresponding to the first relative gain model and less than a second frequency corresponding to the second relative gain model; The determining the target channel gain based on the target relative gain model and the preset gain of the optical amplifier comprises: A second relative gain is determined based on the first relative gain model and the second relative gain model, and a sum of the second relative gain and the preset gain is determined as the target channel gain.

7. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 6, characterized in that: The step of determining a target noise coefficient model from a preset noise coefficient model according to the channel frequency to be measured, the preset gain and the preset gain slope of the optical amplifier comprises: Determine a first noise coefficient model from a preset noise coefficient model according to the first frequency, the preset gain of the optical amplifier, and the preset gain slope, and determine a second noise coefficient model from the preset noise coefficient model according to the second frequency, the preset gain of the optical amplifier, and the preset gain slope; The determining a target noise coefficient based on the target noise coefficient model comprises: The target noise figure is determined based on the first noise figure model and the second noise figure model.

8. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to any one of claims 1 to 4, characterized in that: The step of determining the frequency of the channel to be measured comprises: In a case where the optical signal-to-noise ratio of the optical fiber communication system is a point-to-point combined optical signal-to-noise ratio, determining an average channel frequency of the optical fiber communication system as the channel frequency to be measured; The step of determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise factor includes: The average channel pure signal input power of the optical amplifier is determined based on the channel frequency to be measured and the target parameter information of the optical amplifier, and the degree of optical signal-to-noise ratio degradation of the optical amplifier is determined according to the average channel pure signal input power, the target channel gain and the target noise figure.

9. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to any one of claims 1 to 4, characterized in that: The step of determining the frequency of the channel to be measured comprises: When the optical signal-to-noise ratio of the optical fiber communication system is a point-to-point single-wavelength optical signal-to-noise ratio or a mesh network single-wavelength optical signal-to-noise ratio, determining the channel center frequency of the channel to be measured as the channel frequency to be measured; The step of determining the optical signal-to-noise ratio degradation degree of the optical amplifier according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain, and the target noise factor includes: In a case where the optical signal-to-noise ratio of the optical fiber communication system is a point-to-point single-wavelength optical signal-to-noise ratio, determining a single-channel pure signal input power of the channel to be measured in the optical amplifier based on the frequency of the channel to be measured and the target parameter information of the optical amplifier, and determining a degree of optical signal-to-noise ratio degradation of the optical amplifier according to the single-channel pure signal input power of the channel to be measured, the target channel gain, and the target noise factor; In a case where the optical signal-to-noise ratio of the optical fiber communication system is a mesh network single-wavelength optical signal-to-noise ratio, the single-channel input power of the channel to be measured in the optical amplifier is determined based on the frequency of the channel to be measured and the target parameter information of the optical amplifier, and the degree of optical signal-to-noise ratio degradation of the optical amplifier is determined according to the single-channel input power of the channel to be measured, the target channel gain, and the target noise factor.

10. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 9, characterized in that: The average channel pure signal input power of the optical amplifier is determined by: Determining the full-band input noise power and the total input power of the optical amplifier; Dividing the difference between the total input power of the optical amplifier and the full-band input noise power by the number of service channels of the optical amplifier to obtain the average channel pure signal input power of the optical amplifier, wherein the number of service channels includes the number of dummy channels; The target parameter information also includes the total input power and the number of service channels.

11. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 10, characterized in that: The determining of the full-band input noise power of the optical amplifier comprises: In the case where the optical amplifier is a first-stage optical amplifier of the optical fiber communication system, determining that the full-band input noise power of the optical amplifier is 0; In the case where the optical amplifier is an optical amplifier of other stages of the optical fiber communication system except the first stage optical amplifier, the average output noise power and the total output power of the previous stage optical amplifier of the optical amplifier are determined, and a first difference is obtained by subtracting the total output power of the previous stage optical amplifier from the total input power of the optical amplifier, and a second difference is obtained by subtracting the first difference from the average output noise power, and the full-band input noise power of the optical amplifier is obtained by multiplying the ratio of the frequency range of the optical amplifier divided by the equivalent noise bandwidth by the second difference.

12. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 11, characterized in that: The determining the average output noise power of the previous stage optical amplifier of the optical amplifier comprises: Determining the average input noise power, average additional noise power and preset gain of the previous stage optical amplifier; The average output noise power of the previous stage optical amplifier is obtained by adding the product of the average input noise power of the previous stage optical amplifier and the preset gain to the average additional noise power.

13. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 9, characterized in that: In the case where the optical signal-to-noise ratio of the optical fiber communication system is a point-to-point single-wavelength optical signal-to-noise ratio, the single-channel pure signal input power of the channel to be measured is determined by: Acquire the channel output power of each service channel of the optical amplifier, the service channel includes a dummy channel, and the channel to be measured is any channel among the service channels; For each service channel in each service channel, determine a third relative gain according to a relative gain model corresponding to a channel center frequency of the service channel and a preset gain slope of the optical amplifier, and subtract the preset gain of the optical amplifier and the third relative gain from the channel output power of the service channel to obtain a first channel input power of the service channel; The first channel input power of each service channel is summed and then subtracted from the average channel pure signal input power of the optical amplifier to obtain a first calibration error; The first calibration error is subtracted from the first channel input power of the channel to be measured to obtain the single-channel pure signal input power of the channel to be measured.

14. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to claim 9, characterized in that: In the case where the optical signal-to-noise ratio of the optical fiber communication system is a mesh network single-wavelength optical signal-to-noise ratio, the single-channel input power of the channel to be measured is determined by: Detecting the channel output power of all channels of the optical amplifier, wherein the all channels include service channels and idle channels, the service channels include dummy channels, and the channel to be measured is any channel among the service channels; For each target channel in all channels, a fourth relative gain is determined according to a relative gain model corresponding to a channel center frequency of the target channel and a preset gain slope of the optical amplifier, and the preset gain of the optical amplifier and the fourth relative gain are subtracted from the channel output power of the target channel to obtain a second channel input power of the target channel; The second calibration error is obtained by summing the second channel input powers of the target channels and subtracting the total input power of the optical amplifier, wherein the target parameter information also includes the total input power; The second calibration error is subtracted from the second channel input power of the channel to be measured to obtain the single channel input power of the channel to be measured.

15. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to any one of claims 1 to 4, characterized in that: Determining the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the degree of degradation of the optical signal-to-noise ratio of each level of optical amplifiers includes: The input optical signal-to-noise ratio of the optical fiber communication system and the optical signal-to-noise ratio degradation degree of each level of optical amplifier are reciprocally summed to obtain a first sum value, and the reciprocal of the first sum value is determined as the optical signal-to-noise ratio of the optical fiber communication system.

16. The method for determining the optical signal-to-noise ratio of an optical fiber communication system according to any one of claims 1 to 4, characterized in that: Determining the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the degree of degradation of the optical signal-to-noise ratio of each level of optical amplifiers includes: In a case where the optical signal-to-noise ratio of the optical fiber communication system is a mesh network single-wavelength optical signal-to-noise ratio, determining at least one optical amplifier from each level of optical amplifiers according to a target channel path; The optical signal-to-noise ratio of the optical fiber communication system is determined according to the input optical signal-to-noise ratio of the optical fiber communication system and the degree of degradation of the optical signal-to-noise ratio of the at least one optical amplifier.

17. An optical signal-to-noise ratio determination device for an optical fiber communication system, characterized in that: The device comprises: An acquisition module, used for acquiring target parameter information of optical amplifiers at various levels in the optical fiber communication system during operation of the optical fiber communication system, and determining the frequency of the channel to be measured, wherein the target parameter information includes a preset gain and a preset gain slope of the optical amplifier; a first determination module, for each optical amplifier in each stage of the optical amplifier, determining a target relative gain model from a preset relative gain model according to the channel frequency to be measured and the preset gain slope of the optical amplifier, determining a target channel gain based on the target relative gain model and the preset gain of the optical amplifier, determining a target noise coefficient model from a preset noise coefficient model according to the channel frequency to be measured, the preset gain of the optical amplifier and the preset gain slope, determining a target noise coefficient based on the target noise coefficient model, and determining a degree of optical signal-to-noise ratio degradation of the optical amplifier according to the channel frequency to be measured, the target parameter information of the optical amplifier, the target channel gain and the target noise coefficient, wherein both the preset relative gain model and the preset noise coefficient model are modeled based on an optical amplifier of the same model as the optical amplifier under different preset gains and preset gain slopes; The second determination module is used to determine the optical signal-to-noise ratio of the optical fiber communication system according to the input optical signal-to-noise ratio of the optical fiber communication system and the degree of degradation of the optical signal-to-noise ratio of each level of optical amplifier.

18. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processing device, the steps of the method described in any one of claims 1 to 16 are implemented.

19. An electronic device, characterized in that: include: a storage device having at least one computer program stored thereon; At least one processing device, configured to execute the at least one computer program in the storage device to implement the steps of the method according to any one of claims 1 to 16.

20. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 16 are implemented.

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