Optical communication system optical filter parameter estimation method and system

Abstract

The application provides an optical filter parameter estimation method and system for an optical communication system, comprising: constructing a theoretical digital model of an optical fiber communication link according to physical knowledge of the optical communication system; extracting optical filter related features; constructing an objective function according to the theoretical digital model and the optical filter related features; and updating parameters of the optical filter in the digital model of the device step by step until the value of the objective function is minimum, at which time the input parameters of the digital model are the real parameters of the optical filter. The application realizes high-precision optical filter parameter estimation for the optical communication system, improves universality, and reduces artificial cost and economic cost.

Description

Technical Field

[0001] This invention relates to the fields of optical communication device manufacturing and optical communication applications, specifically to a method and system for estimating optical filter parameters in an optical communication system. Background Technology

[0002] With the rapid development of network applications such as virtual reality and the Internet of Things, optical communication systems carrying the majority of network traffic need further expansion. In current optical communication systems, the single-wavelength capacity of commercial systems is approaching the Shannon limit. In the future, a more intelligent and accurate optical network management system is needed to effectively reduce the cost per bit of transmission. To achieve this goal, accurate estimation of link performance is required. Accurate estimation of device parameters is a crucial step. Currently, in practical systems, the device parameters input for link performance estimation are obtained from datasheets, which differ from the actual device parameters. System performance estimation needs to reserve a margin for inaccurate device parameters, leading to wasted transmission capacity. As an important optical component in optical communication systems, optical filter parameter estimation is one of the key aspects of expanding network capacity and achieving intelligent network management.

[0003] However, traditional optical filter parameter estimation schemes still have significant room for improvement. Traditional schemes primarily rely on optical channel monitors (OCMs) deployed after the optical filters in the link to obtain the spectrum, and then use fitting or machine learning algorithms to derive the optical filter parameters. This approach requires the spectrum obtained from the OCM, but not all links in current optical networks have deployed OCMs, making this scheme unsuitable for some links. Furthermore, deploying OCMs incurs additional costs.

[0004] In summary, traditional optical filter parameter estimation schemes do not consider all factors and require spectra obtained from additional measurement devices before they can be used in practical systems.

[0005] Therefore, there is an urgent market need for a method and system for estimating optical filter parameters in optical communication systems that can achieve high-precision estimation without the aid of additional measurement equipment. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for estimating optical filter parameters in optical communication systems.

[0007] A method for estimating optical filter parameters in an optical communication system according to the present invention includes:

[0008] Step S1: Based on the physical knowledge of optical communication systems, construct a theoretical digital model of the optical fiber communication link;

[0009] Step S2: Extract relevant features of the optical filter;

[0010] Step S3: Construct the objective function based on the theoretical digital model and the relevant characteristics of the optical filter;

[0011] Step S4: Gradually update the parameters of the optical filter in the theoretical digital model corresponding to the device until the objective function value is minimized. At this point, the input parameters of the theoretical digital model are the actual parameters of the optical filter.

[0012] Preferably, the extraction of optical filter-related features includes extraction from the receiving-end digital signal processing (DSP) of the optical fiber communication experimental system;

[0013] Under the same input parameters, the output features of the theoretical digital model correspond one-to-one with the extracted optical filter-related features.

[0014] Preferably, the input to the theoretical digital model of the optical fiber communication link is link-related configuration parameters, and the output is signal-related characteristics, as shown in the following formula:

[0015] P = f(S, W, F, N)

[0016] In the formula, P represents the signal correlation characteristics, S represents the signal parameters, W represents the optical filter correlation parameters, F represents the fiber correlation parameters, and N represents the optical amplifier EDFA correlation parameters.

[0017] Preferably, the objective function formula is as follows:

[0018] Y = g(f(S) ′ ,′,′,′),)

[0019] In the formula, Y represents the objective function, and S ′ W represents the initial device signal parameters. ′ F represents the initial device optical filter related parameters. ′ N represents the initial fiber-related parameters of the device. ′ The initial device optical amplifier (EDFA) related parameters are represented, and M represents the features extracted by the receiving-end digital signal processing (DSP) of the optical fiber communication system.

[0020] Given the same input parameters [S, , , ], the value of the signal-related feature P of the output of the theoretical digital model is compared with the value of the feature M extracted by the digital signal processing DSP at the receiving end of the optical fiber communication system, denoted as P = M.

[0021] Preferably, the optical filter parameters W in the digital model are updated stepwise using an optimization algorithm until the objective function value is minimized. At this point, the input parameters of the digital model are the true parameters of the optical filter, denoted as . The iterative process is as follows:

[0022]

[0023] In the formula, Y represents the objective function.

[0024] An optical filter parameter estimation system for an optical communication system provided by the present invention includes:

[0025] Module M1: Construct a theoretical digital model of the optical fiber communication link based on the physical knowledge of optical communication systems;

[0026] Module M2: Extracts relevant features of the optical filter;

[0027] Module M3: Construct the objective function based on the theoretical digital model and the relevant characteristics of the optical filter;

[0028] Module M4: Gradually update the parameters of the optical filter in the device's digital model until the objective function value is minimized. At this point, the input parameters of the digital model are the actual parameters of the optical filter.

[0029] Preferably, the extraction of optical filter-related features includes extraction from the receiving-end digital signal processing (DSP) of the optical fiber communication experimental system;

[0030] Under the same input parameters, the output features of the theoretical digital model correspond one-to-one with the extracted optical filter-related features.

[0031] Preferably, the input to the theoretical digital model of the optical fiber communication link is link-related configuration parameters, and the output is signal-related characteristics, as shown in the following formula:

[0032] P = f(S, W, F, N)

[0033] In the formula, P represents the signal correlation characteristics, S represents the signal parameters, W represents the optical filter correlation parameters, F represents the fiber correlation parameters, and N represents the optical amplifier EDFA correlation parameters.

[0034] Preferably, the objective function formula is as follows:

[0035] Y = g(f(S) ′ ,′,′,′),)

[0036] In the formula, Y represents the objective function, and S ′ W represents the initial device signal parameters. ′ F represents the initial device optical filter related parameters. ′ N represents the initial fiber-related parameters of the device. ′The initial device optical amplifier (EDFA) related parameters are represented, and M represents the features extracted by the receiving-end digital signal processing (DSP) of the optical fiber communication system.

[0037] Given the same input parameters [S,,,], the value of the signal correlation feature P of the output of the theoretical digital model is compared with the value of the feature M extracted by the digital signal processing DSP at the receiving end of the optical fiber communication system, denoted as P = M.

[0038] Preferably, the optical filter parameters W in the digital model are updated stepwise using an optimization algorithm until the objective function value is minimized. At this point, the input parameters of the digital model are the true parameters of the optical filter, denoted as . The iterative process is as follows:

[0039]

[0040] In the formula, Y represents the objective function.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. Based on physical knowledge, this invention establishes a theoretical digital model of the optical communication link and uses physical analysis to extract features related to the optical filter from the digital signal processing algorithm (DSP) at the receiving end of the optical communication system. This does not require additional measurement equipment, thus improving universality while reducing labor and economic costs.

[0043] 2. This invention achieves high-precision estimation of optical filter parameters in optical communication systems by constructing an objective function and using an optimization algorithm to gradually update the parameters of the optical filter in the digital model until the objective function value is minimized. Attached Figure Description

[0044] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0045] Figure 1 This is a schematic diagram of the optical filter parameter estimation method for the optical communication system of the present invention.

[0046] Figure 2 This is a schematic diagram illustrating the accuracy obtained when the method of the present invention is applied to an example of optical filter parameter estimation.

[0047] in, Figure 2 The horizontal axis represents examples with different optical filter parameters, and the vertical axis represents the optical filter parameter error. Detailed Implementation

[0048] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0049] According to the present invention, an optical filter parameter estimation method for an optical communication system is provided, such as... Figure 1 As shown, it includes:

[0050] Step S1: Based on the physical knowledge of optical communication systems, construct a theoretical digital model of the optical fiber communication link. The input of the theoretical digital model of the optical fiber communication link is the link-related configuration parameters, and the output is the signal-related characteristics, as shown in the following formula:

[0051] P = f(S, W, F, N)

[0052] In the formula, P represents the signal correlation characteristics, S represents the signal parameters, W represents the optical filter correlation parameters, F represents the fiber correlation parameters, and N represents the optical amplifier EDFA correlation parameters.

[0053] Step S2: Extract optical filter-related features. This extraction includes extracting features from the receiving-end digital signal processing (DSP) of the optical fiber communication experimental system. Specifically, the extraction steps involve extracting features such as the signal power spectrum from the interfaces provided by the DSP module. The accuracy of this invention primarily depends on the accuracy of the constructed loss function value. The accuracy of the loss function means that the loss function only changes with the optical filter parameters. If the loss function is also related to changes in other parameters, it will affect the accuracy of the optical filter parameter estimation. Therefore, this invention needs to ensure that, under the same input parameters, the output features of the theoretical digital model correspond one-to-one with the extracted optical filter-related features. In this case, given the same input parameters [S,,,], the value of the signal-related feature P of the theoretical digital model's output is compared with the value of the feature M extracted by the receiving-end digital signal processing (DSP) of the optical fiber communication system, denoted as P = M.

[0054] Step S3: Construct the objective function based on the theoretical digital model and the relevant characteristics of the optical filter. Specifically, the device configuration parameters are used as the initial device parameters S. ′ The objective function formula is as follows:

[0055] Y = g(f(S) ′ ,′,′,′),)

[0056] In the formula, Y represents the objective function, and S ′ W represents the initial device signal parameters. ′F represents the initial device optical filter related parameters. ′ N represents the initial fiber-related parameters of the device. ′ The initial device optical amplifier (EDFA) parameters are represented, and M represents the features extracted by the receiving-end digital signal processing (DSP) of the optical fiber communication system.

[0057] Step S4: Gradually update the parameters of the optical filter in the theoretical digital model corresponding to the device until the objective function value is minimized. At this point, the input parameters of the theoretical digital model are the true parameters of the optical filter. The optical filter parameters W in the digital model are gradually updated using an optimization algorithm until the objective function value is minimized. The input parameters of the digital model at this point are the true parameters of the optical filter, denoted as W. The iterative process is as follows:

[0058]

[0059] In the formula, Y represents the objective function.

[0060] Furthermore, such as Figure 2 As shown, the optical filter parameter estimation method provided by this invention is applied to a specific link to obtain the results. In this embodiment, there are three optical filters, with a filter bandwidth ranging from 36GHz to 40GHz and a filter center frequency offset ranging from -2GHz to 2GHz. The marked points in the figure compare the average error of the parameters before and after optimization under different sample conditions. This invention compares the average error of the parameters before and after optimization. As can be seen from the figure, the optical filter parameter estimation scheme designed using the method proposed in this invention further reduces the error compared to the unoptimized parameters.

[0061] The present invention also provides an optical filter parameter estimation system for an optical communication system. Those skilled in the art can implement the optical filter parameter estimation system for an optical communication system by executing the steps of the optical filter parameter estimation method for an optical communication system. That is, the optical filter parameter estimation method for an optical communication system can be understood as a preferred embodiment of the optical filter parameter estimation system for an optical communication system.

[0062] An optical filter parameter estimation system for an optical communication system provided by the present invention includes:

[0063] Module M1: Based on the physical knowledge of optical communication systems, construct a theoretical digital model of the optical fiber communication link. The input of the theoretical digital model of the optical fiber communication link is the link-related configuration parameters, and the output is the signal-related characteristics, as shown in the following formula:

[0064] P = f(S, W, F, N)

[0065] In the formula, P represents the signal correlation characteristics, S represents the signal parameters, W represents the optical filter correlation parameters, F represents the fiber correlation parameters, and N represents the optical amplifier EDFA correlation parameters.

[0066] Module M2: Extracting optical filter-related features. This extraction includes extracting features from the receiving-end digital signal processing (DSP) in the optical fiber communication experimental system. Under the same input parameters, the output features of the theoretical digital model correspond one-to-one with the extracted optical filter-related features.

[0067] Module M3: Based on the theoretical digital model and the relevant characteristics of the optical filter, a target function is constructed. The formula for the target function is as follows:

[0068] Y = g(f(S) ′ ,′,′,′),)

[0069] In the formula, Y represents the objective function, and S ′ W represents the initial device signal parameters. ′ F represents the initial device optical filter related parameters. ′ N represents the initial fiber-related parameters of the device. ′ Let represent the initial device optical amplifier (EDFA) related parameters, and M represent the features extracted by the receiving-end digital signal processing (DSP) of the optical fiber communication system. Specifically, given the same input parameters [S, ..., S], the value of the signal-related feature P output by the theoretical digital model is compared with the value of the feature M extracted by the receiving-end DSP of the optical fiber communication system, denoted as P = M.

[0070] Module M4: Gradually updates the parameters of the optical filter in the theoretical digital model corresponding to the device until the objective function value is minimized. At this point, the input parameters of the theoretical digital model are the true parameters of the optical filter. The optical filter parameters W in the digital model are gradually updated using an optimization algorithm until the objective function value is minimized. The input parameters of the digital model at this point are the true parameters of the optical filter, denoted as... The iterative process is as follows:

[0071]

[0072] In the formula, Y represents the objective function.

[0073] Applying the optimization framework designed by the optical filter parameter estimation method for the optical communication system to the system can improve the accuracy of device parameter estimation. In other words, the parameter estimation of other optical devices, such as optical amplifiers, and the optical communication device fault location and estimation system designed using the optical filter parameter estimation method described in this invention can improve the accuracy of corresponding device parameter estimation, including theoretical digital modeling, optimization algorithms, and optimization frameworks.

[0074] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0075] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A method for estimating optical filter parameters in an optical communication system, characterized in that, include: Step S1: Based on the physical knowledge of optical communication systems, construct a theoretical digital model of the optical fiber communication link; Step S2: Extract relevant features of the optical filter; Step S3: Construct the objective function based on the theoretical digital model and the relevant characteristics of the optical filter; Step S4: Gradually update the parameters of the optical filter in the theoretical digital model corresponding to the device until the objective function value is minimized. At this point, the input parameters of the theoretical digital model are the actual parameters of the optical filter. The extraction of optical filter-related features includes extraction from the receiving-end digital signal processing (DSP) of the optical fiber communication experimental system; Under the same input parameters, the output features of the theoretical digital model correspond one-to-one with the extracted optical filter-related features; The theoretical digital model of the optical fiber communication link takes link-related configuration parameters as input and outputs signal-related characteristics as output, as shown in the following formula: In the formula, Indicates the correlation characteristics of the signal. Indicates signal parameters, Indicates the relevant parameters of the optical filter. Indicates fiber optic related parameters, This indicates the relevant parameters of the optical amplifier EDFA; The optical filter parameters in the digital model are updated step by step using optimization algorithms. The process continues until the objective function value is minimized. At this point, the input parameters of the digital model are the true parameters of the optical filter, denoted as... The iterative process is as follows: In the formula, This represents the objective function.

2. The optical filter parameter estimation method for an optical communication system according to claim 1, characterized in that, The objective function formula is as follows: In the formula, Describe the objective function. This represents the initial device signal parameters. This represents the initial device optical filter-related parameters. This represents the initial fiber-related parameters of the device. This represents the initial device optical amplifier (EDFA) related parameters. This represents the features extracted by the digital signal processing (DSP) at the receiving end of an optical fiber communication system. Where, given the same input parameters The signal correlation characteristics of the output of the theoretical digital model The values ​​of the digital signal processing (DSP) features extracted at the receiving end of the fiber optic communication system Compare the values, denoted as .

3. A parameter estimation system for an optical filter in an optical communication system, characterized in that, include: Module M1: Construct a theoretical digital model of the optical fiber communication link based on the physical knowledge of optical communication systems; Module M2: Extracts relevant features of the optical filter; Module M3: Construct the objective function based on the theoretical digital model and the relevant characteristics of the optical filter; Module M4: Gradually update the parameters of the optical filter in the theoretical digital model corresponding to the device until the objective function value is minimized. At this point, the input parameters of the theoretical digital model are the actual parameters of the optical filter. The extraction of optical filter-related features includes extraction from the receiving-end digital signal processing (DSP) of the optical fiber communication experimental system; Under the same input parameters, the output features of the theoretical digital model correspond one-to-one with the extracted optical filter-related features; The theoretical digital model of the optical fiber communication link takes link-related configuration parameters as input and outputs signal-related characteristics as output, as shown in the following formula: In the formula, Indicates the correlation characteristics of the signal. Indicates signal parameters, Indicates the relevant parameters of the optical filter. Indicates fiber optic related parameters, This indicates the relevant parameters of the optical amplifier EDFA; The optical filter parameters in the digital model are updated step by step using optimization algorithms. The process continues until the objective function value is minimized. At this point, the input parameters of the digital model are the true parameters of the optical filter, denoted as... The iterative process is as follows: In the formula, This represents the objective function.

4. The optical filter parameter estimation system for an optical communication system according to claim 3, characterized in that, The objective function formula is as follows: In the formula, Describe the objective function. This represents the initial device signal parameters. This represents the initial device optical filter-related parameters. This represents the initial fiber-related parameters of the device. This represents the initial device optical amplifier (EDFA) related parameters. This represents the features extracted by the digital signal processing (DSP) at the receiving end of an optical fiber communication system. Where, given the same input parameters The signal correlation characteristics of the output of the theoretical digital model The values ​​of the digital signal processing (DSP) features extracted at the receiving end of the fiber optic communication system Compare the values, denoted as .

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