Joint dispersion compensation and fast equalization method, device and equipment

Abstract

The invention discloses a joint dispersion compensation and fast equalization method, device and equipment, and relates to the technical field of optical signal processing, and the method comprises the steps: obtaining a pulse amplitude modulation signal; performing interference compensation on the pulse amplitude modulation signal to limit the symbol range of the pulse amplitude modulation signal and determine a precoding compensation signal; and transmitting the pre-coding compensation signal to receiving end equipment. Receiving a pre-coding compensation signal sent by the transmitting terminal equipment; performing digital demodulation according to the precoding compensation signal to obtain a demodulation signal, and performing equalization compensation on the demodulation signal to determine an equalization signal; and performing target distance data transmission based on the pre-coding compensation signal and the equalization signal. According to the invention, pre-coding compensation is carried out on the pulse amplitude modulation signal at the transmitting end to reduce power attenuation and inter-symbol interference caused by dispersion, rapid equalization compensation is carried out at the receiving end by using multi-output feed-forward equalization, long-distance stable transmission at a high data rate is realized, and the transmission performance is effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of optical signal processing, and in particular to a method, device and equipment for joint dispersion compensation and fast equalization. Background Art

[0002] With the widespread popularity of Internet applications, more and more users are streaming high-quality video content, participating in real-time games, and relying on cloud-based personal and business services, resulting in an exponential increase in the amount of data that needs to be transmitted in data center interconnections. In order to support the next generation of high-capacity data connections, it is necessary to increase the rate of a single line. Usually, four-level pulse amplitude modulation is used for intensity modulation and direct detection, which has the characteristics of low cost, low power consumption and miniaturization. However, when the data rate exceeds the peak value, due to the dispersion effect in the optical fiber, the signal will be distorted during long-distance transmission, seriously affecting the signal quality and bit error rate. Therefore, dispersion compensation and fast equalization of the distorted signal are a must.

[0003] At present, the existing practice is to combine decision feedback equalization based on the receiver and Tomlinson-Holothesma precoding at the transmitter to deal with the dispersion and compensation problems in data rate and long-distance transmission. However, decision feedback equalization based on the receiver is prone to error propagation problems. Although Tomlinson-Holothesma precoding at the transmitter can avoid error propagation, it needs to be further combined with other equalization technologies to effectively deal with the dispersion and compensation problems in higher data rates and long-distance transmission. Therefore, how to accurately and effectively deal with signal distortion caused by dispersion during long-distance and high data rate transmission has become an urgent problem to be solved.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present application is to provide a joint dispersion compensation and fast equalization method, device and equipment, aiming to solve the technical problem of how to accurately and effectively deal with the signal distortion caused by dispersion during long-distance high data rate transmission.

[0006] To achieve the above objectives, the present application proposes a joint dispersion compensation and fast equalization method, the method comprising:

[0007] Obtaining a pulse amplitude modulated signal;

[0008] Perform interference compensation on the pulse amplitude modulation signal, limit the symbol range of the pulse amplitude modulation signal and determine a precoding compensation signal;

[0009] The precoding compensation signal is transmitted to a receiving end device.

[0010] In one embodiment, the step of acquiring a pulse amplitude modulation signal comprises:

[0011] Obtaining a pseudo-random bit signal;

[0012] The pseudo-random bit signal is encoded to obtain a pulse amplitude modulation signal.

[0013] In one embodiment, the step of performing interference compensation on the pulse amplitude modulation signal and limiting the pulse amplitude modulation signal symbol range to determine the precoding compensation signal includes:

[0014] Obtain feedback filter coefficients, target modular operation range, modular operation transformation method, channel length, additive noise and channel impulse response;

[0015] Determine a coded signal by encoding based on the pulse amplitude modulation signal, the feedback filter coefficient, the channel length, the additive noise, the channel impulse response, the target modular operation range and the modular operation transformation method;

[0016] A precoding compensation signal is obtained based on the coded signal, the channel length, the additive noise, and the channel impulse response.

[0017] In addition, to achieve the above purpose, the present application also proposes a joint dispersion compensation and fast equalization method, the method comprising:

[0018] Receiving a precoding compensation signal sent by a transmitting end device;

[0019] Performing digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and performing equalization compensation on the demodulated signal to determine an equalized signal;

[0020] Target distance data transmission is performed based on the precoding compensation signal and the equalization signal.

[0021] In one embodiment, the step of performing digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and performing equalization compensation on the demodulated signal to determine an equalized signal comprises:

[0022] Get data processing methods;

[0023] Performing data processing on the precoding adjustment signal based on the data processing method to determine an analog electrical signal;

[0024] Performing equalization compensation based on the data processing method and the analog electrical signal to determine an equalization parameter set;

[0025] An equalized signal is obtained by adaptively adjusting the equalization parameter set.

[0026] In one embodiment, the step of performing equalization compensation based on the data processing method and the analog electrical signal to determine an equalization parameter set includes:

[0027] Get the balance weight and balance weight update algorithm;

[0028] Digitally demodulating the analog electrical signal to obtain an optical fiber signal;

[0029] Performing data processing on the optical fiber signal based on the data processing method to determine a demodulated signal;

[0030] Equalization compensation is performed based on the demodulated signal, the equalization weight and the equalization weight update algorithm to determine an equalization parameter set.

[0031] In one embodiment, the step of performing target distance data transmission based on the precoding compensation signal and the equalization signal includes:

[0032] Get the inverse transformation method of modular operation;

[0033] determining a dispersion signal based on the compensation signal and the equalization signal;

[0034] Decoding the dispersion signal based on the modular inverse transformation method to determine decoding information, and detecting the direct modulation and direct detection transmission system based on the decoding information to determine the detection result status;

[0035] Based on the detection result status, the direct adjustment and direct detection transmission system is controlled to perform target distance data transmission.

[0036] In addition, to achieve the above-mentioned purpose, the present application also proposes a joint dispersion compensation and fast equalization transmitting end device, the joint dispersion compensation and fast equalization transmitting end device comprising:

[0037] An acquisition module, used for acquiring a pulse amplitude modulation signal;

[0038] A processing module, configured to perform interference compensation on the pulse amplitude modulation signal and limit the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal;

[0039] The execution module is used to transmit the precoding compensation signal to a receiving end device.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a joint dispersion compensation and fast equalization receiving end device, the joint dispersion compensation and fast equalization receiving end device comprising:

[0041] An acquisition module, used for receiving a precoding compensation signal sent by a transmitting end device;

[0042] A processing module, configured to perform digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and perform equalization compensation on the demodulated signal to determine an equalized signal;

[0043] An execution module is used to transmit target distance data based on the precoding compensation signal and the equalization signal.

[0044] In addition, to achieve the above-mentioned objectives, the present application also proposes a joint dispersion compensation and fast equalization device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the joint dispersion compensation and fast equalization method as described above.

[0045] One or more technical solutions proposed in this application have at least the following technical effects:

[0046] The present application proposes a joint dispersion compensation and fast equalization method, which obtains a pulse amplitude modulated signal; performs interference compensation on the pulse amplitude modulated signal to limit the symbol range of the pulse amplitude modulated signal to determine a precoding compensation signal; and transmits the precoding compensation signal to a receiving device. Receive the precoding compensation signal sent by the transmitting device; perform digital demodulation according to the precoding compensation signal to obtain a demodulated signal, perform equalization compensation on the demodulated signal to determine an equalized signal; and perform target distance data transmission based on the precoding compensation signal and the equalized signal. The present application performs precoding compensation on the pulse amplitude modulated signal at the transmitting end to reduce the power attenuation and inter-symbol interference caused by dispersion, and then uses multi-output feedforward equalization technology to perform fast equalization compensation at the receiving end, and finally controls the direct modulation and direct detection transmission system to achieve long-distance stable transmission at high data rates, effectively improving the transmission performance and signal quality of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0049] Figure 1 This is a schematic diagram of a direct-adjustment and direct-detection transmission system for the combined dispersion compensation and fast equalization method of this application;

[0050] Figure 2 A flowchart of the first embodiment of the combined dispersion compensation and fast equalization method of the present application is provided;

[0051] Figure 3 A flowchart of the second embodiment of the combined dispersion compensation and fast equalization method of the present application is provided;

[0052] Figure 4 This is the experimental result diagram of direct modulation and direct detection transmission based on hollow core fiber for the combined dispersion compensation and fast equalization method of this application;

[0053] Figure 5 This is a diagram showing the calculation result of the equalization time of the combined dispersion compensation and fast equalization method of this application;

[0054] Figure 6 A brief flowchart of the joint dispersion compensation and fast equalization method provided in an embodiment of the present application;

[0055] Figure 7 This is a diagram illustrating the special terms and English abbreviations of the joint dispersion compensation and fast equalization method of this application;

[0056] Figure 8 This is a schematic diagram of the module structure of a transmitting end device of a joint dispersion compensation and fast equalization method according to an embodiment of the present application;

[0057] Fig. 9 This is a schematic diagram of the module structure of a receiving device of a joint dispersion compensation and fast equalization method according to an embodiment of the present application;

[0058] Fig.10 This is a schematic diagram of the device structure of the hardware operating environment involved in the joint dispersion compensation and fast equalization method in the embodiment of the present application.

[0059] Description of Figure Numbers:

[0060] 10. Light source; 20. Transmitter signal processing module; 30. Modulator; 40. Optical fiber module; 50. Detector; 60. Receiver signal processing module; 70. Optical amplifier; 80. Optical fiber; 90. Adjustable optical attenuator; DAC, digital-to-analog converter; ADC, analog-to-digital converter.

[0061] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0062] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0063] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0064] The main solution of the embodiment of the present application is: obtain a pulse amplitude modulation signal; perform interference compensation on the pulse amplitude modulation signal to limit the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal; transmit the precoding compensation signal to the receiving end device. Receive the precoding compensation signal sent by the transmitting end device; perform digital demodulation according to the precoding compensation signal to obtain a demodulated signal, perform equalization compensation on the demodulated signal to determine an equalized signal; and perform target distance data transmission based on the precoding compensation signal and the equalized signal.

[0065] In this embodiment, for ease of description, the following description is made by taking identification of a joint dispersion compensation and fast equalization device as an execution subject.

[0066] Since the decision feedback equalization based on the existing technology at the receiving end is prone to error propagation problems, although the Tomlinson-Horosuma precoding at the transmitting end can avoid error propagation, it needs to be further combined with other equalization technologies to effectively deal with dispersion and compensation problems in higher data rates and long-distance transmission.

[0067] The present application provides a solution, which includes obtaining a pulse amplitude modulation signal; performing interference compensation on the pulse amplitude modulation signal, limiting the symbol range of the pulse amplitude modulation signal, and determining a precoding compensation signal; and transmitting the precoding compensation signal to a receiving device. The precoding compensation signal sent by a transmitting device is received; digital demodulation is performed according to the precoding compensation signal to obtain a demodulated signal, and equalization compensation is performed on the demodulated signal to determine an equalized signal; and target distance data transmission is performed based on the precoding compensation signal and the equalized signal.

[0068] It can be seen from the above embodiments that the present application performs precoding compensation on the pulse amplitude modulation signal at the transmitting end to reduce the power attenuation and inter-symbol interference caused by dispersion, and then uses multi-output feedforward equalization technology to perform fast equalization compensation at the receiving end, and finally controls the direct modulation and direct detection transmission system to achieve long-distance stable transmission at a high data rate, thereby effectively improving the transmission performance and signal quality of the system.

[0069] Based on this, an embodiment of the present application provides a joint dispersion compensation and fast equalization method, which is applied to a direct modulation and direct detection transmission system, wherein the direct modulation and direct detection transmission system includes a light source 10, a transmitting end signal processing module 20, a digital-to-analog converter DAC, a modulator 30, an optical fiber module 40, a detector 50, an analog-to-digital converter ADC, and a receiving end signal processing module 60, wherein the optical fiber module includes an optical amplifier 70, an optical fiber 80, and an adjustable optical attenuator 90, such as Figure 1 As shown, Figure 1This is a schematic diagram of a direct-modulation and direct-detection transmission system for the joint dispersion compensation and fast equalization method of the present application, wherein the direct-modulation and direct-detection transmission system comprises a light source 10, a transmitting-end signal processing module 20, a digital-to-analog converter DAC, a modulator 30, an optical fiber module 40, a detector 50, an analog-to-digital converter ADC, and a receiving-end signal processing module 60, wherein the light source 10 is connected to a first end of the modulator 30, the transmitting-end signal processing module 20 is connected to a first section of the digital-to-analog converter DAC, a second end of the digital-to-analog converter DAC is connected to a second end of the modulator 30, a third end of the modulator 30 is connected to a first end of the optical fiber module 40, a second end of the optical fiber module 40 is connected to a second end of the detector 50, a first end of the detector 50 is connected to a first end of the analog-to-digital converter ADC, and a second end of the analog-to-digital converter ADC is connected to the receiving-end signal processing module 60.

[0070] Based on this, the embodiment of the present application provides a joint dispersion compensation and fast equalization method, referring to Figure 2 , Figure 2 This is a flowchart of the first embodiment of the joint dispersion compensation and fast equalization method of the present application.

[0071] In this embodiment, the joint dispersion compensation and fast equalization method includes steps S10 to S30:

[0072] Step S10, obtaining a pulse amplitude modulation signal;

[0073] It should be noted that the pulse amplitude modulation signal reflects the characteristics of signal modulation.

[0074] It can be understood that the pulse amplitude modulation signal can transmit data by changing the amplitude of the signal, can carry more information, and is suitable for high-speed data transmission. The more amplitude levels of the pulse amplitude modulation signal, the higher the transmission data rate, but at the same time, the requirements for signal quality and system anti-interference ability are also higher.

[0075] For ease of understanding, a pulse amplitude modulation signal is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, and the storage device is a memory.

[0076] At the transmitting end, the information acquisition module obtains a pseudo-random bit signal, and the pseudo-random bit signal is encoded into a PAM-4 signal by a PAM mapping module, that is, the pseudo-random bit signal is encoded to obtain a pulse amplitude modulation signal, and subsequent processing is performed based on the pulse amplitude modulation signal.

[0077] In a feasible implementation, step S10 may include steps A11 to A12:

[0078] Step A11, obtaining a pseudo-random bit signal;

[0079] It should be noted that the pseudo-random bit signal reflects the characteristics used for spectrum spread and signal synchronization in the communication system.

[0080] It can be understood that the pseudo-random bit signal has excellent characteristics similar to white noise and is widely used in spread spectrum communication, ranging, telemetry, remote control and multiple access systems. The pseudo-random bit signal, as the original data stream, can be converted into a signal suitable for specific channel characteristics through a precoding process, thereby optimizing signal transmission, reducing interference, and improving the synchronization and demodulation capabilities of the signal at the receiving end, improving the transmission efficiency of the signal, and enhancing the signal's anti-interference performance.

[0081] Step A12: Encode the pseudo-random bit signal to obtain a pulse amplitude modulation signal.

[0082] It can be understood that at the transmitting end, the pseudo-random bit signal is encoded into a PAM-4 signal, i.e., the pulse amplitude modulation signal, by a PAM mapping module. The PAM-4 signal is a 4th-order pulse amplitude modulation signal, in which each symbol carries two bits of information, i.e., the PAM-4 signal can transmit two bits in each symbol period, thereby making the data transmission rate twice that of the traditional signal. For example, a 56Gb / s PAM-4 signal has a baud rate, i.e., a symbol rate of 28GBd, i.e., 2.8 billion symbols per second.

[0083] In addition, it should be noted that the pseudo-random bit signal, as the original data stream, can be converted into a signal with four different voltage levels through PAM-4 modulation, and each level corresponds to a combination of two bits, thereby improving the efficiency of data transmission. Moreover, due to the multi-level characteristics of the PAM-4 signal, the signal is more sensitive to amplitude noise. Compared with traditional signals, at the same data rate, the PAM-4 signal is less affected by inter-symbol interference. On the basis of the original PAM-4 modulation format, it can be expanded to support higher-order modulation formats, such as PAM-8, PAM-16 or higher-order modulation schemes, to further improve the system transmission capacity.

[0084] Step S20, performing interference compensation on the pulse amplitude modulation signal and limiting the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal;

[0085] It should be noted that the precoding compensation signal reflects the characteristics of the signal encoded by the precoding algorithm, and eliminates or reduces the inter-symbol interference and power attenuation caused by fiber dispersion in advance at the transmitting end by limiting the symbol range of the pulse amplitude modulation signal, thereby improving the signal's anti-interference ability, avoiding error propagation at the receiving end, and enhancing the integrity and accuracy of the signal in long-distance transmission, effectively improving the system's transmission performance and signal quality.

[0086] It can be understood that precoding processing can pre-offset the inter-symbol interference and dispersion effects that the signal may encounter during transmission, thereby improving the signal's anti-interference ability, maintaining signal integrity, reducing signal distortion caused by dispersion, and ensuring that the signal can still be accurately demodulated after long-distance transmission.

[0087] In addition, it should be noted that when determining the precoding compensation signal, a more complex precoding algorithm, such as adaptive THP or a precoding algorithm based on machine learning, can be used on the basis of the original THP precoding. The adaptive THP is a THP precoding mechanism that can be dynamically adjusted according to the real-time characteristics of the transmission link, such as noise level, power attenuation and dispersion, so as to further improve the system's anti-interference ability and robustness. The machine learning-assisted THP uses a machine learning algorithm to predict changes in the transmission link and adjust the THP coding strategy to maintain the best transmission effect even in a changing environment.

[0088] For ease of understanding, the determination of a precoding compensation signal is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the processing device is a processing module.

[0089] At the transmitting end, the information acquisition module obtains the pseudo-random bit signal, which is encoded into a PAM-4 signal by the PAM mapping module and then pre-encoded by the pre-trained THP, that is, the pseudo-random bit signal is encoded to obtain a pulse amplitude modulation signal s (n) , get the channel impulse response h (n) , channel length L, additive noise w (n) Based on the channel impulse response, the feedback filter coefficient f can be obtained by the minimum mean square error method. (k) , where k = 1, 2, ... L, the known inter-symbol interference is eliminated by the feedback filter, and the coded signal is determined based on the pulse amplitude modulation signal, the feedback filter coefficient, the channel length, the additive noise, the channel impulse response, the target modular operation range and the modular operation transformation method. At this time, the coded signal x is calculated (n) for:

[0090]

[0091] In order to convert the coded signal x (n) Restricted to a suitable dynamic range, modulo operations are performed.

[0092] Get the target modulo operation range M, and the method to get the modulo operation transformation is:

[0093]

[0094] The modulo operation limits the symbol to the interval [-M / 2, M / 2] to avoid the infinite increase of the symbol amplitude, thus obtaining the restricted coded signal x (n) .

[0095] At this time, the precoding compensation signal is obtained based on the coded signal, the channel length, the additive noise, and the channel impulse response. At this time, the signal formed after passing through the channel is calculated, that is, the precoding compensation signal y is calculated. (n) for:

[0096]

[0097] Subsequent processing is performed based on the precoding compensation signal.

[0098] In a feasible implementation, step S20 may include steps B11 to B13:

[0099] Step B11, obtaining feedback filter coefficients, target modular operation range, modular operation transformation method, channel length, additive noise and channel impulse response;

[0100] It should be noted that the feedback filter coefficient reflects the characteristics of eliminating inter-symbol interference in signal processing, the target modular operation range reflects the characteristics of limiting the symbol amplitude in signal processing, the modular operation transformation method reflects the characteristics of encoding and quantizing symbols in signal processing, the channel length reflects the characteristics of the distance the signal propagates in the channel, the additive noise reflects the characteristics of random interference received by the signal during transmission, and the channel impulse response reflects the characteristics of the channel's response to a pulse signal.

[0101] It can be understood that the feedback filter coefficient is calculated based on the impulse response of the channel, usually obtained by the minimum mean square error method, and is used to adjust the transmitted signal to offset the interference caused by the previous symbol. By setting the target modular operation range, the dynamic range of the encoded symbol can be controlled to avoid infinite increase in the symbol amplitude. The modular operation transformation method ensures the stability and anti-interference ability of the signal during transmission by limiting the symbol to a specific interval. The channel length is used to characterize the attenuation and delay changes of the signal during transmission. The additive noise is used to characterize the interference during transmission. The channel impulse response characterizes the attenuation, delay and phase changes of the signal when it propagates in the channel.

[0102] In addition, it should be noted that the feedback filter coefficient and the modular transformation method can reduce inter-symbol interference and quantization error, and the dynamic range of the signal can be controlled by the target modular operation range to avoid signal distortion caused by excessive amplitude. By combining the channel length and the additive noise, different channel conditions can be adapted, and the channel impulse response can more accurately predict and compensate for the propagation effect of the signal in the channel, thereby improving the transmission quality of the signal.

[0103] Step B12, encoding based on the pulse amplitude modulation signal, the feedback filter coefficient, the channel length, the additive noise, the channel impulse response, the target modular operation range and the modular operation transformation method to determine the coded signal;

[0104] It should be noted that the coded signal reflects the characteristics of the signal expected to be obtained after being processed by the precoding rule.

[0105] It can be understood that the coded signal is able to adapt to channel characteristics and reduce the effects of dispersion and interference after being processed by a specific precoding algorithm. Through precoding processing, the signal's anti-interference ability is enhanced, reducing the effects of dispersion and noise on signal quality, and more effectively utilizing channel resources, thereby improving data transmission efficiency. At the same time, the system's bit error rate is reduced, thereby improving communication reliability.

[0106] Step B13, obtaining a precoding compensation signal based on the coded signal, the channel length, the additive noise, and the channel impulse response.

[0107] It can be understood that THP precoding can be introduced at the transmitting end to pre-process the inter-symbol interference in the transmission signal and improve the signal's anti-dispersion capability. The THP precoding is to pre-code the PAM-4 signal to be transmitted using THP after signal modulation to eliminate the inter-symbol interference that may occur during the transmission process, so that the signal can maintain higher stability and integrity when facing dispersion and noise in the channel, reduce the inter-symbol interference caused by channel characteristics, maintain signal clarity and accuracy, and at the same time improve transmission efficiency, making the system more flexible and reliable.

[0108] Step S30: transmitting the precoding compensation signal to a receiving end device.

[0109] It can be understood that by transmitting the precoding compensation signal to the receiving device, signal transmission is effectively performed in the optical fiber channel, which is particularly suitable for high data rate signal transmission in new optical fibers, such as hollow core optical fibers. It ensures that the precoding compensation signal can cross the optical fiber channel and withstand the dispersion and noise interference in long-distance transmission, thereby performing effective digital demodulation and equalization compensation at the receiving end, which is particularly suitable for high data rate long-distance transmission scenarios using hollow core optical fibers.

[0110] In addition, it should be noted that THP is a nonlinear precoding method, which is particularly suitable for long-distance transmission scenarios at high data rates. It can adjust the transmitted signal through a feedback mechanism to offset the interference caused by previous symbols in the signal and the distortion caused by the channel. It performs interference compensation at the transmitting end and avoids the possibility of error propagation to the receiving end.

[0111] For ease of understanding, the transmission of a precoding compensation signal is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the execution device is an execution module.

[0112] The transmitting end obtains a precoding compensation signal and a data processing method, such as upsampling, pulse shaping and resampling. The precoding compensation signal is processed based on the data processing method and input into a digital-to-analog converter to generate an analog electrical signal. At this time, the target light source information is obtained, and the target light source information and the analog electrical signal are sent to a modulator, loaded onto an optical carrier and sent to a 20km hollow-core optical fiber. The precoding compensation signal is transmitted to the receiving end through an optical fiber channel.

[0113] The present application proposes a joint dispersion compensation and fast equalization method, which obtains a pulse amplitude modulated signal; performs interference compensation on the pulse amplitude modulated signal to limit the symbol range of the pulse amplitude modulated signal to determine a precoding compensation signal; and transmits the precoding compensation signal to a receiving device. The technical problem of how to deal with dispersion distortion in long-distance optical fiber transmission is solved. Compared with the prior art, the present application reduces the power attenuation caused by dispersion by obtaining a pulse amplitude modulated signal at the transmitting end, precoding the pulse amplitude modulated signal, and performing interference compensation to limit the symbol range to determine the precoding compensation signal, thereby avoiding error propagation at the receiving end, effectively improving the signal's anti-interference ability, maintaining signal integrity, and improving the transmission performance and reliability of the system.

[0114] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 3After step S30, the joint dispersion compensation and fast equalization method further includes steps S31 to S33:

[0115] Step S31, receiving a precoding compensation signal sent by a transmitting end device;

[0116] It is understandable that in order to further improve the anti-interference capability of the system, a multi-output feedforward equalization is introduced at the receiving end to dynamically equalize the received optical signal and compensate for the signal distortion caused by dispersion.

[0117] In addition, it should be noted that at the receiving end, the PAM-4 signal that has been directly detected will first pass through a linear feedforward equalizer, which performs adaptive adjustment based on the characteristics of the received signal to compensate for the inter-symbol interference caused by dispersion or bandwidth limitation during transmission. The multi-output MFFE architecture is used to process multiple signal channels in parallel, so that the computational complexity of the entire system is effectively controlled. It is suitable for application scenarios with low power consumption and high real-time requirements, greatly improves the processing speed, reduces the total delay of the system, dynamically adjusts the equalization parameters, and can adapt to different fiber types and dispersion conditions under different transmission conditions, making signal equalization more flexible and efficient.

[0118] For ease of understanding, receiving a precoding compensation signal is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the execution device is an execution module.

[0119] The receiving end receives the precoding compensation signal transmitted by the transmitting end through the optical fiber channel. The receiving end includes a photodetector and a high-speed oscilloscope, and finally the precoding compensation signal is sent to the analog-to-digital converter for digital demodulation to obtain a data processing method. For example, the data processing method is resampling, synchronization and downsampling. The received precoding compensation signal is processed based on the data processing method and sent to the MFFE post-equalizer with multi-tap output for equalization compensation.

[0120] Step S32, performing digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and performing equalization compensation on the demodulated signal to determine an equalized signal;

[0121] It should be noted that the demodulated signal reflects the characteristics of the ability to restore original data information from the received analog signal, and the equalized signal reflects the characteristics of signal equalization processing performed on the demodulated signal.

[0122] It can be understood that the demodulated signal represents the conversion from the analog domain to the digital domain, and the ability to extract useful information from the interfered signal, which directly affects the accuracy of data recovery and the overall performance of the communication system, reduces data errors caused by channel interference, and the equalized signal adjusts the time domain or frequency domain characteristics of the signal to reduce inter-symbol interference and improve signal reliability, significantly affecting the signal bit error rate and the communication quality of the system, making the signal more stable during transmission and reducing communication interruptions caused by signal degradation.

[0123] In addition, it should be noted that when determining the equalization signal, more dimensional equalization processing can be added on the basis of the original multi-output feedforward equalization to adapt to more complex transmission environments, such as time domain and frequency domain joint equalization and spatial domain equalizer. The time domain and frequency domain joint equalization is an equalization processing method that introduces joint time domain and frequency domain. By processing signal distortion problems in parallel in different domains, the adaptability and performance of the equalizer are further enhanced. The spatial domain equalizer combines multi-input and multi-output technology to further reduce signal interference and multipath attenuation through spatial domain equalization, which is suitable for more complex communication environments, especially in high-density transmission scenarios.

[0124] For ease of understanding, an explanation is given by taking determining an equalized signal as an example, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the execution device is an execution module.

[0125] The receiving end receives the precoded compensation signal transmitted by the transmitting end through the optical fiber channel. The receiving end includes a photodetector and a high-speed oscilloscope. Finally, the precoded compensation signal is sent to the analog-to-digital converter for digital demodulation to determine the analog electrical signal, and a data processing method is obtained. For example, the data processing method is resampling, synchronization and downsampling. Based on the data processing method and the analog electrical signal, equalization compensation is performed to determine the equalization parameter set, and the signal is sent to the MFFE post-equalizer with a multi-tap output for equalization compensation. Based on the equalization parameter set, adaptive adjustment is performed to obtain an equalized signal.

[0126] The output end of the MFFE post-equalizer with multiple tap outputs is a parallel output structure. This structure can simultaneously calculate multiple output signals in one equalization calculation. Taking three output ends as an example, the calculated output signal can be expressed as:

[0127] Y=W×X

[0128] Among them, X∈i (2N+1)×1 is the input signal, W∈i 3×(2N+1) is the weight, Y∈i 3×1 , the weight W can be updated by the gradient descent algorithm.

[0129] In a feasible implementation, step S32 may include steps C11 to C14:

[0130] Step C11, obtaining a data processing method;

[0131] It should be noted that the data processing method reflects the characteristics of data processing on the signal, and the data processing method includes upsampling, pulse shaping, resampling, synchronization and downsampling.

[0132] It can be understood that the data processing method can recover the original data from the analog signal, reducing the errors caused by channel distortion. The use of efficient data processing algorithms can reduce computational complexity and system power consumption without sacrificing performance, and is suitable for application scenarios that require real-time and energy efficiency.

[0133] Step C12, performing data processing on the precoding adjustment signal based on the data processing method to determine an analog electrical signal;

[0134] It should be noted that the analog electrical signal reflects the characteristics of the precoding compensation signal obtained from the receiving end of the optical fiber channel after being converted into an electrical signal by the photoelectric detector.

[0135] It can be understood that the analog electrical signal represents the quality of the signal after optical fiber transmission and optoelectronic conversion, including signal integrity, signal-to-noise ratio and possible distortion. Through high-quality analog electrical signals, digital demodulation and equalization compensation can be performed more accurately, reducing errors caused by channel distortion, and effectively resisting dispersion and noise interference, maintaining signal stability and reliability.

[0136] Step C13, performing equalization compensation based on the data processing method and the analog electrical signal to determine an equalization parameter set;

[0137] It is understandable that after long-distance transmission and the influence of dispersion, the signal needs to be accurately demodulated and restored, and the processing effect of equalization compensation directly affects the signal bit error rate and the communication quality of the system. By performing equalization compensation on the signal, the inter-symbol interference and distortion caused by other channels can be effectively reduced, the reliability of the signal can be improved, and long-distance stable transmission can be achieved while maintaining a high data rate, thereby improving the transmission performance and signal quality of the system. It can also make adaptive adjustments according to different channel characteristics and transmission conditions, making the system more flexible and able to adapt to changing communication environments.

[0138] In a feasible implementation, step C11 may include steps D11 to D14:

[0139] Step D11, obtaining the balancing weight and the balancing weight updating algorithm;

[0140] It should be noted that the equalization weight reflects the characteristics of the relative importance of the coefficients for equalization processing, and the equalization weight update algorithm reflects the characteristics of dynamically adjusting the equalization weight to adapt to changes in channel conditions.

[0141] It can be understood that the equalization weight determines how to adjust the signal according to the channel characteristics and signal status to reduce inter-symbol interference and optimize the overall quality of the signal. The equalization weight update algorithm is based on a certain optimization criterion, such as the minimum mean square error or maximum likelihood criterion. By continuously updating the weights to track the time-varying characteristics of the channel, it is ensured that the equalizer always maintains the best performance. An efficient equalization weight update algorithm can reduce the amount of calculation in application scenarios with high real-time and energy efficiency requirements, and reduce the complexity and power consumption of the system.

[0142] Step D12, digitally demodulating the analog electrical signal to obtain an optical fiber signal;

[0143] It should be noted that the optical fiber signal reflects the characteristics of the signal state transmitted from the transmitting end to the receiving end through the optical fiber.

[0144] It is understandable that the optical fiber signal is affected by the quality of the optical fiber itself, the transmission distance and environmental factors. By accurately capturing the characteristics of the optical fiber signal, digital demodulation and equalization compensation can be performed more accurately, reducing errors caused by channel distortion.

[0145] Step D13, performing data processing on the optical fiber signal based on the data processing method to determine a demodulated signal;

[0146] It should be noted that the demodulated signal reflects the characteristics of the state of the signal after conversion from the analog domain to the digital domain.

[0147] It can be understood that by processing the demodulated signal, the impact of channel noise and interference can be effectively reduced, the reliability of the signal can be improved, and the transmission performance and signal quality of the system can be significantly improved by optimizing the demodulation algorithm. Without sacrificing performance, the computational complexity and system power consumption can be reduced, which is suitable for application scenarios that require real-time and energy efficiency.

[0148] Step D14: performing equalization compensation based on the demodulated signal, the equalization weight and the equalization weight update algorithm to determine an equalization parameter set.

[0149] It should be noted that the equalization parameter set reflects the characteristics of describing the distortion state of the signal in the frequency domain and the time domain.

[0150] It can be understood that the equalization parameter set includes equalization weights, filter coefficients and tap delays, which are used to adjust the received signal to compensate for channel-induced distortion, reduce inter-symbol interference and improve signal integrity and reliability.

[0151] Step C14: performing adaptive adjustment based on the equalization parameter set to obtain an equalized signal.

[0152] It is understandable that the equalized signal can adjust the time domain or frequency domain characteristics of the signal to reduce inter-symbol interference and improve the reliability of the signal, making the signal more stable during transmission and reducing communication interruptions caused by signal degradation.

[0153] Step S33: transmitting target distance data based on the precoding compensation signal and the equalization signal.

[0154] It can be understood that the precoding compensation signal is the signal after interference compensation, and the equalization signal is the signal after equalization compensation. The signal is processed in combination with interference compensation and equalization compensation, which can significantly reduce the power attenuation and inter-symbol interference caused by dispersion, optimize signal quality, and reduce channel distortion. Therefore, in long-distance optical fiber communication, it can ensure that the signal can be transmitted stably within a predetermined distance, and support high-order PAM modulation as needed. By optimizing the parameter design of THP and MFFE, the nonlinearity and dispersion problems caused by high-order modulation are reduced, so that the system can achieve a higher transmission rate. A flexible system that supports multiple modulation formats is designed, so that the most suitable modulation scheme can be selected under different transmission distances and scenarios to obtain the best transmission performance.

[0155] For ease of understanding, the acquisition of a precoding compensation signal and an equalization signal is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, the storage device is a memory, and the execution device is an execution module.

[0156] The information acquisition module obtains the precoding compensation signal, the equalization signal and the modular inverse transformation method, determines the dispersion signal based on the precoding compensation signal and the equalization signal, decodes the dispersion signal based on the modular inverse transformation method to determine the decoding information, and restores it to the original data through the modular inverse transformation. At this time, it is assumed that the channel response h during the transmission process (k) It is known that the calculated decoding information is:

[0157]

[0158] Based on the decoded information being used to measure the system transmission performance after PAM demapping, the direct adjustment and direct inspection transmission system is detected to determine the detection result status. If the detection result status is sufficient transmission performance or insufficient transmission performance, the direct adjustment and direct inspection transmission system is controlled to perform target distance data transmission based on the detection result status.

[0159] like Figure 4 As shown, Figure 4The experimental results of the combined dispersion compensation and fast equalization method of this application based on the direct modulation and direct detection of hollow core fiber transmission are shown in the figure. After 20km of hollow core fiber transmission, the THP-MFFE in the combined dispersion compensation and fast equalization method of this application successfully achieved the result of 112Gbaud PAM-4 signal transmission, meeting the 25% soft decision FEC bit error rate threshold, and the line rate is 220Gb / s. Figure 5 As shown, Figure 5 This is the result diagram of the equalization time calculation of the joint dispersion compensation and fast equalization method of this application, which shows the time required for the receiving end to equalize the signal. The MFFE in the joint dispersion compensation and fast equalization method of this application reduces the equalization time by 64.6% compared with the classic FFE, and has a relatively obvious advantage of low time complexity.

[0160] In a feasible implementation, step S33 may include steps E11 to E14:

[0161] Step E11, obtaining a modular inverse transformation method;

[0162] It should be noted that the modular inverse transformation method reflects the characteristics of decoding and quantizing symbols in signal processing.

[0163] It can be understood that in the optical fiber communication system, the precoding compensation signal is used to reduce the power attenuation and inter-symbol interference caused by dispersion, and the equalization signal is used to perform equalization compensation on the demodulated signal at the receiving end. The modular inverse transformation method can restore the compensated and equalized signal to the original signal through inverse transformation or perform further processing to facilitate more accurate data transmission and detection, so that the signal can still maintain its integrity and accuracy after long-distance transmission, improve the transmission performance and signal quality of the system, and maintain the stability and reliability of the signal even under long-distance transmission and complex channel conditions.

[0164] Step E12, determining a dispersion signal based on the compensation signal and the equalization signal;

[0165] It should be noted that the dispersion signal reflects the characteristics of signal distortion caused by the different transmission speeds of different frequency components and different mode components in the optical fiber communication system.

[0166] It can be understood that the dispersion signal characterizes the dispersion effect of the optical fiber on the optical signal, which causes the broadening of the optical pulse. In severe cases, it even causes the optical pulses to overlap with each other, causing inter-symbol interference and increased bit error rate, which not only affects the transmission capacity of the optical fiber, but also limits the relay distance of the optical fiber communication system. By analyzing the dispersion signal, the signal distortion caused by dispersion can be more accurately evaluated and compensated, thereby improving the integrity and reliability of the signal, effectively managing and compensating the dispersion signal to reduce the overlap of optical pulses and inter-symbol interference, thereby reducing the bit error rate, improving the performance of the communication system, reducing the signal broadening and distortion caused by dispersion, and can improve the transmission efficiency of the optical fiber communication system, extend the maximum transmission distance, and increase the system capacity.

[0167] Step E13, decoding the dispersion signal based on the modular inverse transformation method to determine decoding information, and detecting the direct modulation and direct detection transmission system based on the decoding information to determine the detection result state;

[0168] It should be noted that the detection result status reflects the evaluation performance status of the direct adjustment and direct inspection transmission system.

[0169] It can be understood that the detection result status can indicate whether the signal is successfully transmitted within the target distance and whether the transmitted signal is reliable. The detection result status can be used for fault diagnosis. When a problem occurs in signal transmission, the cause of the problem can be quickly located and timely measures can be taken to repair it, thereby reducing the system's downtime, thereby ensuring that data is reliably transmitted within the target distance, reducing data loss and errors, and improving the overall reliability and efficiency of the communication system.

[0170] Step E14, controlling the direct adjustment and direct detection transmission system to transmit target distance data based on the detection result status.

[0171] It can be understood that based on the detection result status, the system transmission performance can be measured, such as the stability of the signal during transmission and the signal quality information, so as to perform fault diagnosis. When there is a problem with signal transmission, the system can quickly locate the cause of the problem and take timely measures to repair it, thereby reducing the system's failure time, ensuring that data is reliably transmitted within the target distance, reducing data loss and errors, and improving the overall reliability and efficiency of the communication system. The present application proposes a joint dispersion compensation and fast equalization method, which receives a precoding compensation signal sent by a transmitting device; performs digital demodulation according to the precoding compensation signal to obtain a demodulated signal, performs equalization compensation on the demodulated signal to determine an equalized signal; and performs target distance data transmission based on the precoding compensation signal and the equalized signal. The technical problem of how to efficiently and accurately compensate the signal is solved. Compared with the prior art, the present application receives the precoding compensation signal sent by the transmitting end device, obtains the demodulated signal by using the digital demodulation technology, and then performs equalization compensation on the demodulated signal to determine the equalized signal. Data transmission of the target distance is achieved based on the precoding compensation signal and the equalized signal, thereby effectively improving the signal reception quality of the optical fiber communication system in long-distance transmission and enhancing the signal processing capability. The processing efficiency of the equalizer is significantly improved, and the calculation delay is reduced. It is suitable for ultra-high-speed optical communication systems, and can adaptively adjust the equalization parameter set according to the characteristics of the transmission optical fiber, such as the chromatic dispersion coefficient and the nonlinear characteristics, to achieve the optimal compensation effect.

[0172] For example, to help understand the implementation process of the joint dispersion compensation and fast equalization method obtained by combining the present embodiment with the above-mentioned embodiment 1, please refer to Figure 6 , Figure 6 A brief flowchart of a joint dispersion compensation and fast equalization method is provided, specifically:

[0173] For ease of understanding, this application organizes the meanings of special nouns and English abbreviations, such as Figure 7 As shown, Figure 7 This is a diagram illustrating the special terms and English abbreviations of the joint dispersion compensation and fast equalization method of this application. The meanings of the special terms and English abbreviations related to this application can be found in Figure 7 Explanation, no further elaboration will be given later.

[0174] Referring to the first embodiment, a pulse amplitude modulation signal is obtained; interference compensation is performed on the pulse amplitude modulation signal to limit the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal; and the precoding compensation signal is transmitted to a receiving end device. Figure 6As shown in steps (a) and (b) in FIG, THP precoding is introduced at the transmitting end to pre-process the inter-symbol interference in the transmission signal and improve the signal's anti-dispersion capability. After signal modulation, THP is used to precode the PAM-4 signal to be transmitted to eliminate ISI that may occur during transmission, and interference compensation is performed at the transmitting end to avoid the possibility of error propagation to the receiving end, which is particularly suitable for long-distance transmission scenarios at high data rates.

[0175] Referring to the second embodiment, a precoding compensation signal sent by a transmitting end device is received; a demodulated signal is obtained by digital demodulation according to the precoding compensation signal, and an equalization compensation is performed on the demodulated signal to determine an equalized signal; and target distance data transmission is performed based on the precoding compensation signal and the equalized signal. Figure 6 As shown in step (c) and step (d), a multi-output feedforward equalizer MFFE is introduced at the receiving end to dynamically equalize the received optical signal and compensate for the signal distortion caused by dispersion. At the receiving end, the PAM-4 signal after direct detection will first pass through a linear feedforward equalizer FFE, which is adaptively adjusted based on the received signal characteristics to compensate for the inter-symbol interference ISI caused by dispersion or bandwidth limitation during transmission. The multi-output MFFE architecture greatly improves the processing speed and reduces the total delay of the system by processing multiple signal channels in parallel. Dynamically adjusting the equalization parameters can adapt to the dispersion conditions under different fiber types and different transmission conditions, making signal equalization more flexible and efficient.

[0176] This application combines the dispersion compensation and fast equalization methods to effectively combine the two technologies of THP and MFFE. Through the dual compensation mechanism at the transmitting and receiving ends, it can significantly reduce the inter-symbol interference caused by dispersion, especially in high data rate and long-distance transmission scenarios, and can effectively improve the signal quality and system transmission performance. With the multi-output parallel design, the computational complexity of the entire system is effectively controlled, which is suitable for application scenarios with high requirements for low power consumption and real-time performance. In long-distance, high-speed optical fiber communication systems, the use of THP precoding combined with multi-output feedforward equalizer MFFE can effectively solve the dispersion and bandwidth limitation problems, especially in new low-dispersion hollow-core optical fibers, which can significantly improve the transmission efficiency and stability. Through pre-compensation at the transmitting end and efficient equalization at the receiving end, signal distortion and system delay are greatly reduced, which is suitable for application in high-speed and long-distance IM / DD optical fiber systems.

[0177] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the joint dispersion compensation and fast equalization method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0178] The present application also provides a combined dispersion compensation and fast equalization method transmitting end device, please refer to Figure 8 The transmitting end device of the joint dispersion compensation and fast equalization method comprises:

[0179] An acquisition module 10, used to acquire a pulse amplitude modulation signal;

[0180] A processing module 20, configured to perform interference compensation on the pulse amplitude modulation signal and limit the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal;

[0181] The execution module 30 is used to transmit the precoding compensation signal to a receiving end device.

[0182] The acquisition module 10 is also used to acquire a pseudo-random bit signal;

[0183] The pseudo-random bit signal is encoded to obtain a pulse amplitude modulation signal.

[0184] The processing module 20 is further used to obtain feedback filter coefficients, target modular operation range, modular operation transformation method, channel length, additive noise and channel impulse response;

[0185] Determine a coded signal by encoding based on the pulse amplitude modulation signal, the feedback filter coefficient, the channel length, the additive noise, the channel impulse response, the target modular operation range and the modular operation transformation method;

[0186] A precoding compensation signal is obtained based on the coded signal, the channel length, the additive noise, and the channel impulse response.

[0187] The present application also provides a receiving device for a joint dispersion compensation and fast equalization method, please refer to Fig. 9 The receiving end device of the joint dispersion compensation and fast equalization method comprises:

[0188] An acquisition module 40 is used to receive a precoding compensation signal sent by the transmitting end device;

[0189] A processing module 50 is used to perform digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and perform equalization compensation on the demodulated signal to determine an equalized signal;

[0190] The execution module 60 is configured to transmit target distance data based on the precoding compensation signal and the equalization signal.

[0191] The processing module 50 is also used to obtain a data processing method;

[0192] Performing data processing on the precoding adjustment signal based on the data processing method to determine an analog electrical signal;

[0193] Performing equalization compensation based on the data processing method and the analog electrical signal to determine an equalization parameter set;

[0194] An equalized signal is obtained by adaptively adjusting the equalization parameter set.

[0195] The processing module 50 is also used to obtain the balancing weight and the balancing weight update algorithm;

[0196] Digitally demodulating the analog electrical signal to obtain an optical fiber signal;

[0197] Performing data processing on the optical fiber signal based on the data processing method to determine a demodulated signal;

[0198] Equalization compensation is performed based on the demodulated signal, the equalization weight and the equalization weight update algorithm to determine an equalization parameter set.

[0199] The execution module 60 is also used to obtain a modular inverse transformation method;

[0200] determining a dispersion signal based on the compensation signal and the equalization signal;

[0201] Decoding the dispersion signal based on the modular inverse transformation method to determine decoding information, and detecting the direct modulation and direct detection transmission system based on the decoding information to determine a detection result state;

[0202] Based on the detection result status, the direct adjustment and direct detection transmission system is controlled to perform target distance data transmission.

[0203] The joint dispersion compensation and fast equalization transmitting end device and the joint dispersion compensation and fast equalization method receiving end device provided by the present application adopt the joint dispersion compensation and fast equalization method in the above-mentioned embodiment, and can solve the technical problem of how to accurately and effectively deal with the signal distortion caused by dispersion during long-distance high data rate transmission. Compared with the prior art, the beneficial effects of the joint dispersion compensation and fast equalization transmitting end device and the joint dispersion compensation and fast equalization method receiving end device provided by the present application are the same as the beneficial effects of the joint dispersion compensation and fast equalization method provided by the above-mentioned embodiment, and the other technical features of the joint dispersion compensation and fast equalization transmitting end device and the joint dispersion compensation and fast equalization method receiving end device are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0204] The present application provides a joint dispersion compensation and fast equalization device, which includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the joint dispersion compensation and fast equalization method in the above-mentioned embodiment 1.

[0205] Reference below Fig.10 , which shows a schematic diagram of the structure of a joint dispersion compensation and fast equalization device suitable for implementing the embodiment of the present application. The joint dispersion compensation and fast equalization device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.10 The joint dispersion compensation and fast equalization device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0206] like Fig.10As shown, the joint dispersion compensation and fast equalization device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. Various programs and data required for the operation of the joint dispersion compensation and fast equalization device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 may allow the joint dispersion compensation and fast equalization device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a joint dispersion compensation and fast equalization device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0207] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0208] The joint dispersion compensation and fast equalization device provided by the present application adopts the joint dispersion compensation and fast equalization method in the above embodiment, which can solve the technical problem of how to accurately and effectively deal with the signal distortion caused by dispersion during long-distance high data rate transmission. Compared with the prior art, the beneficial effects of the joint dispersion compensation and fast equalization device provided by the present application are the same as the beneficial effects of the joint dispersion compensation and fast equalization method provided by the above embodiment, and other technical features in the joint dispersion compensation and fast equalization device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0209] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0210] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0211] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A joint dispersion compensation and fast equalization method, characterized in that: The method is applied to a transmitting end device, and the method comprises: Obtaining a pulse amplitude modulated signal; Perform interference compensation on the pulse amplitude modulation signal and limit the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal; The precoding compensation signal is transmitted to a receiving end device.

2. The method according to claim 1, characterized in that The step of obtaining a pulse amplitude modulation signal comprises: Obtaining a pseudo-random bit signal; The pseudo-random bit signal is encoded to obtain a pulse amplitude modulation signal.

3. The method according to claim 1, characterized in that The step of performing interference compensation on the pulse amplitude modulation signal, limiting the pulse amplitude modulation signal symbol range and determining the precoding compensation signal comprises: Obtain feedback filter coefficients, target modular operation range, modular operation transformation method, channel length, additive noise and channel impulse response; Determine a coded signal by encoding based on the pulse amplitude modulation signal, the feedback filter coefficient, the channel length, the additive noise, the channel impulse response, the target modular operation range and the modular operation transformation method; A precoding compensation signal is obtained based on the coded signal, the channel length, the additive noise, and the channel impulse response.

4. A joint dispersion compensation and fast equalization method, characterized in that: The method is applied to a receiving end device, the receiving end device is connected to a transmitting end device via an optical fiber, and the method comprises: Receiving a precoding compensation signal sent by a transmitting end device; Performing digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and performing equalization compensation on the demodulated signal to determine an equalized signal; Target distance data transmission is performed based on the precoding compensation signal and the equalization signal.

5. The method according to claim 4, characterized in that The steps of performing digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and performing equalization compensation on the demodulated signal to determine an equalized signal include: Get data processing methods; Performing data processing on the precoding adjustment signal based on the data processing method to determine an analog electrical signal; Performing equalization compensation based on the data processing method and the analog electrical signal to determine an equalization parameter set; An equalized signal is obtained by adaptively adjusting the equalization parameter set.

6. The method according to claim 5, characterized in that The step of performing equalization compensation based on the data processing method and the analog electrical signal to determine an equalization parameter set comprises: Get the balance weight and balance weight update algorithm; Digitally demodulating the analog electrical signal to obtain an optical fiber signal; Performing data processing on the optical fiber signal based on the data processing method to determine a demodulated signal; Equalization compensation is performed based on the demodulated signal, the equalization weight and the equalization weight update algorithm to determine an equalization parameter set.

7. The method according to claim 4, characterized in that The step of performing target distance data transmission based on the precoding compensation signal and the equalization signal comprises: Get the inverse transformation method of modular operation; determining a dispersion signal based on the compensation signal and the equalization signal; Decoding the dispersion signal based on the modular inverse transformation method to determine decoding information, and detecting the direct modulation and direct detection transmission system based on the decoding information to determine the detection result status; Based on the detection result status, the direct adjustment and direct detection transmission system is controlled to transmit target distance data.

8. A joint dispersion compensation and fast equalization transmitting end device, characterized in that: The device comprises: An acquisition module, used for acquiring a pulse amplitude modulation signal; A processing module, configured to perform interference compensation on the pulse amplitude modulation signal and limit the symbol range of the pulse amplitude modulation signal to determine a precoding compensation signal; The execution module is used to transmit the precoding compensation signal to a receiving end device.

9. A joint dispersion compensation and fast equalization receiving end device, characterized in that: The device comprises: An acquisition module, used for receiving a precoding compensation signal sent by a transmitting end device; A processing module, configured to perform digital demodulation according to the precoding compensation signal to obtain a demodulated signal, and perform equalization compensation on the demodulated signal to determine an equalized signal; An execution module is used to transmit target distance data based on the precoding compensation signal and the equalization signal.

10. A joint dispersion compensation and fast equalization device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the joint dispersion compensation and fast equalization method as described in any one of claims 1 to 3 or 4 to 7.

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