Simplified super-Nyquist transmission method for optical interconnection in high-speed data center

Abstract

The invention discloses a simplified super-Nyquist transmission method for optical interconnection in a high-speed data center, and relates to the technical field of optical communication. Comprising the following steps that: a transmitting end pre-codes a transmitting signal by using a simplified pre-coding technology to obtain a pre-coded signal; the pre-coded signal is transmitted to a receiving end through an optical fiber, and the receiving end receives the pre-coded signal sent by the transmitting end; and finally, decoding the pre-coded signal to obtain a transmission signal. According to the method, the processing of the signal is split to the transmitting end and the receiving end, and the transmitting signal is pre-coded before the signal is transmitted, namely the transmitting end, so that the inter-symbol interference possibly generated in the subsequent process of the transmitting signal is eliminated in advance, and error propagation is suppressed; and residual damage is eliminated by using simplified nonlinear equalization at a receiving end. According to the method, the system complexity is greatly reduced while the performance is maintained.

Description

Technical Field

[0001] The present invention relates to the field of optical communication technology, and in particular to a simplified super-Nyquist transmission method for optical interconnection in a high-speed data center. Background Art

[0002] With the rapid development of generative AI services, data centers and intelligent computing platforms are experiencing a surge in demand for communication speed and capacity, necessitating an urgent need to increase these speeds. Methods for increasing communication speed and capacity are generally categorized as follows: 1. Increasing the baud rate to increase communication speed; 2. Increasing communication speed through high-spectral-efficiency transmission.

[0003] However, while increasing the baud rate is a direct means of increasing data rates, as Moore's Law gradually erodes, the bandwidth growth of optoelectronic devices cannot keep pace with the growth in communication capacity. Therefore, high-spectral-efficiency transmission has become an important alternative, and the Beyond-Nyquist (FTN) signal transmission scheme has attracted considerable attention for its potential to improve spectral efficiency. However, Beyond-Nyquist (FTN) signal transmission scheme introduces severe inter-symbol interference. To address this, many conventional equalization methods have been employed. FFE suffers from frequency domain truncation in FTN systems, and DFE performance is limited by error propagation. To address error propagation, THP precoding has been proposed, but it requires a feedback path and is not suitable for high-speed scenarios. Regarding nonlinear compensation, VNLE offers good performance but high complexity. Its simplified DP-VNLE still suffers from high complexity, while DPAT-VNLE reduces complexity but suffers from performance degradation. TMP-FFE / TMP-DFE enhances nonlinear fitting capabilities through trigonometric functions and nonlinear adjustment factors, significantly reducing complexity while maintaining nonlinear compensation capabilities.

[0004] Therefore, a low-complexity and efficient ISI elimination strategy is still urgently needed in short-range and high-spectral-efficiency FTN IM-DD systems. Summary of the Invention

[0005] The purpose of the present invention is to provide a simplified super-Nyquist transmission method for optical interconnection in high-speed data centers, which splits the signal processing between the transmitting end and the receiving end. Before the signal is transmitted, that is, at the transmitting end, the transmitted signal is pre-coded, thereby eliminating the inter-symbol interference that may be generated by the transmitted signal in advance and suppressing error propagation. Simplified nonlinear equalization is used at the receiving end to eliminate residual damage.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a simplified super-Nyquist transmission method for optical interconnection in a high-speed data center, which is applied to a transmitting end. The method includes:

[0008] Precoding the transmitted signal using a simplified precoding technique to obtain a precoded signal;

[0009] The precoded signal is sent to a receiving end.

[0010] In some embodiments, precoding a transmit signal using a simplified precoding technique to obtain a precoded signal includes:

[0011] performing a modulo operation on the transmit signal to obtain a first signal;

[0012] Feedback the transmitted signal based on the first signal to obtain a second signal;

[0013] Performing a modular operation on the second signal to obtain the precoded signal

[0014] In some embodiments, providing feedback to the transmit signal based on the first signal to obtain a second signal includes:

[0015] Using a transfer function to provide feedback to the first signal;

[0016] The first signal is used to pre-eliminate intersymbol interference in the transmitted signal to obtain the second signal.

[0017] In a second aspect, the present invention further provides a simplified super-Nyquist transmission method for optical interconnection in a high-speed data center, which is applied to a receiving end, and the method includes:

[0018] receiving a precoded signal sent by a transmitter;

[0019] The precoded signal is decoded to obtain a transmission signal.

[0020] In some embodiments, decoding the precoded signal to obtain a transmission signal includes:

[0021] performing simplified nonlinear filtering on the precoded signal to obtain a third signal;

[0022] Perform a modular operation on the third signal to obtain the transmission signal.

[0023] In some embodiments, performing simplified nonlinear filtering on the precoded signal to obtain a third signal includes:

[0024] Filtering the precoded signal once to obtain an optimal tap coefficient of the filter;

[0025] performing absolute value clustering processing on the optimal tap coefficients;

[0026] The precoded signal is subjected to secondary filtering according to the optimal tap coefficient after absolute value clustering processing to obtain the third signal.

[0027] In a third aspect, the present invention further provides a simplified super-Nyquist transmission device for optical interconnection in a high-speed data center, which is applied to a transmitting end, and the device includes:

[0028] A signal coding module is used to precode the transmission signal using a simplified precoding technology to obtain a precoded signal;

[0029] A signal sending module is used to send the precoded signal.

[0030] In a fourth aspect, the present invention further provides a simplified super-Nyquist transmission device for optical interconnection in a high-speed data center, which is applied to a receiving end, and the device includes:

[0031] A signal receiving module, configured to receive a precoded signal sent by a transmitting end;

[0032] The signal decoding module is used to decode the precoded signal to obtain a transmission signal.

[0033] The beneficial effects of the present invention are as follows: the simplified super-Nyquist transmission method for optical interconnection in high-speed data centers provided in the present invention first uses a simplified precoding technology to precode the transmission signal at the transmitting end to obtain a precoded signal; the precoded signal is sent to the receiving end; the receiving end receives the precoded signal sent by the transmitting end; and finally, the precoded signal is decoded to obtain a transmission signal. The above method splits the signal processing between the transmitting end and the receiving end. Before the signal is transmitted, that is, the transmitting end has already precoded the transmitting signal, eliminating the inter-symbol interference that may be generated by the transmitting signal in advance and suppressing error propagation, and using simplified nonlinear equalization at the receiving end to eliminate residual damage. This method effectively reduces complexity while maintaining system performance.

[0034] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a flow chart of a simplified super-Nyquist transmission method for optical interconnection in high-speed data centers according to an embodiment of the present invention;

[0036] Figure 2 1 is a flow chart of a nonlinear feedforward equalization process according to an embodiment of the present invention;

[0037] Figure 3Schematic diagram of the relationship between received optical power and bit error rate under different solutions shown in one embodiment of the present invention;

[0038] Figure 4 This is a performance comparison chart of the absolute value-based K-means clustering algorithm and the traditional clustering algorithm shown in one embodiment of the present invention;

[0039] Figure 5 A schematic diagram of bit error rates when different clustering algorithms are used at different optical received powers according to an embodiment of the present invention;

[0040] Figure 6 This is a flow chart of another simplified super-Nyquist transmission method for optical interconnection in high-speed data centers according to an embodiment of the present invention;

[0041] Figure 7 This is a flow chart of a simplified super-Nyquist transmission device for optical interconnection in high-speed data centers according to an embodiment of the present invention;

[0042] Figure 8 The figure is a flow chart of another simplified super-Nyquist transmission device for optical interconnection in high-speed data centers according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0044] It should be noted that references to "one embodiment," "an embodiment," "an example embodiment," etc., in this specification indicate that the described embodiment may include specific features, structures, or characteristics. However, not every embodiment must include these specific features, structures, or characteristics. In addition, such references do not necessarily refer to the same embodiment. Furthermore, when specific features, structures, or characteristics are described in conjunction with an embodiment, whether or not explicitly described, it is indicated that it is within the knowledge of those skilled in the art to incorporate such features, structures, or characteristics into other embodiments.

[0045] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0046] In some embodiments, as Figure 1 As shown, a signaling diagram of a simplified super-Nyquist transmission method for optical interconnection in a high-speed data center is provided, the method comprising:

[0047] S101 , precoding a transmit signal using a simplified precoding technology to obtain a precoded signal.

[0048] Specifically, the amplitude of the transmitted signal can be limited to a constant range by using a modular operation, and the signal after the modular operation is used as feedback to eliminate the inter-symbol interference that may be generated by the transmitted signal in advance. The precoded signal can be obtained by performing the modular operation again.

[0049] Optionally, a modular operation may be performed on the transmission signal to obtain a first signal; based on the first signal, feedback may be performed to the transmission signal to obtain a second signal; and a modular operation may be performed on the second signal to obtain a precoded signal.

[0050] The process of precoding the transmitted signal to obtain the second signal includes: using a transfer function to feed back the first signal; using the first signal to pre-eliminate inter-symbol interference in the transmitted signal to obtain the second signal.

[0051] It should be noted that there is no inter-symbol interference in the transmitted signal before transmission, but inter-symbol interference will be generated in the subsequent spectrum compression of the transmitted signal. Therefore, the operation of eliminating inter-symbol interference in the transmitted signal is actually to eliminate the inter-symbol interference that may be generated by the transmitted signal in the subsequent process in advance.

[0052] For example, the rule of modular operation can be expressed as the following formula (1):

[0053]

[0054] Wherein, x(t) is the first signal, u(t) is the transmitted signal, and m is the modulation format. The purpose of the above modular operation is to limit the first signal to a constant range of [-m, m].

[0055] Then, the transfer function is used to feed back the first signal to eliminate the inter-symbol interference that may be generated by the transmitted signal in advance, that is, the second signal is obtained. The above formula (1) is used again to perform a modular operation on the second signal to obtain a precoded signal.

[0056] It's worth noting that, in order to achieve satisfactory error correction performance, traditional precoding requires the transmitter to know the channel state, meaning the transfer function's tap coefficients must reflect channel information. This invention employs a simplified precoding scheme, eliminating the need for the transfer function to provide feedback channel information. This optimizes the fixed inter-symbol interference (ISI) generated by FTN transmission. Therefore, the transfer function's tap coefficients are derived from the equalization results obtained at the receiver without passing through the channel. Specifically, without preprocessing at the transmitter, the signal generated by the transmitter is directly applied to the decision feedback equalizer configured at the receiver to obtain the tap coefficients. The transfer function's tap coefficients correspond to the tap coefficients of the feedback portion of the decision feedback equalizer.

[0057] S102: Send the precoded signal to a receiving end.

[0058] S103: Receive a precoded signal sent by the transmitter.

[0059] It should be noted that the precoded signal can be transmitted to the receiving end through optical fiber. The precoded signal received by the receiving end is not exactly the same as the precoded signal sent by the transmitting end, because the precoded signal will be interfered by factors such as noise and dispersion during transmission in the channel.

[0060] S104: Decode the precoded signal to obtain a transmission signal.

[0061] Specifically, the method of decoding the precoded signal to obtain the transmission signal includes: performing simplified nonlinear filtering on the precoded signal to obtain a third signal; and performing a modular operation on the third signal to obtain the transmission signal.

[0062] The method of performing simplified nonlinear filtering on a precoded signal to obtain a third signal includes: performing a primary filtering on the precoded signal to obtain the optimal tap coefficients of the filter; performing absolute value clustering on the tap coefficients; and performing a secondary filtering on the precoded signal based on the tap coefficients after the absolute value clustering processing to obtain the third signal.

[0063] For example, when the precoded signal is received at the receiving end, there is no optimal tap coefficient. Therefore, it is necessary to first filter the precoded signal using a nonlinear feedforward equalizer to adaptively obtain the optimal tap coefficient.

[0064] The principle of nonlinear feedforward equalization processing is referred to the following formula (2):

[0065]

[0066] Where W1 represents the tap coefficient of the linear part of the precoded signal, W2 and W3 represent the tap coefficients of the nonlinear part of the precoded signal, the parameter α is the nonlinear adjustment factor, and the linear input vector is defined as x(2n)=[x(2n+[(N1-1) / 2]),...,x(2n),...,x(2n-[(N1-1) / 2])]T, where [·]T represents a transpose operation.

[0067] like Figure 2 As shown, Figure 2Figure 1 is a flow chart of a nonlinear feedforward equalization process. The nonlinear input is generated by a nonlinear expansion module. Each received sample x(2n-k) is expanded into sin(α·x(2n-k)) and cos(α·x(2n-k)). Based on Taylor expansion, sin(α·x(2n-k)) and cos(α·x(2n-k)) represent odd-order (3) and even-order (4) nonlinear terms, respectively:

[0068] sin(α·x(2n-k))~α·x(2n-k)-α 3 ·x 3 (2n-k) / 6...(3)

[0069] cos(α·x(2n-k))~1-α 2 ·x 2 (2n-k) / 2...(4)

[0070] From formula (3) and formula (4), we can see that the parameter α can be used to control the influence of the nonlinear term, and α can be updated adaptively (5):

[0071]

[0072] where μ is the step size, ε(n) = d(n) - y(n) is the error, and x1(2n) = [[x(2n+[(N3-1) / 2]),...,x(2n),...,x(2n-[(N3-1) / 2])] T is the input vector of the nonlinear expansion block, and ⊙ represents the Hadamard product. In addition to controlling the influence of different nonlinear orders through α, the TMP-FFE proposed in formula (2) also has different tap coefficients W2 and W3 for sin(α·x(2n-k)) and cos(α·x(2n-k)), thus having the freedom to control odd-order and even-order nonlinearities.

[0073] It is worth noting that, unlike the traditional nonlinear equalizer that calculates nonlinear terms one by one, the nonlinear feedforward equalizer uses trigonometric functions to naturally cover high-order nonlinear terms, greatly reducing the complexity.

[0074] After determining the optimal tap coefficients for the nonlinear filter, some tap coefficients are very close. To speed up subsequent processing of the precoded signal, tap coefficients with similar absolute values ​​can be grouped together for unified processing. For example, the Abs-k-Means algorithm can be used to process the tap coefficients. First, the signs of all tap coefficients are recorded, and after taking their absolute values, the traditional K-Means algorithm is used for clustering. When calculating the results, the recorded signs are restored to the signal corresponding to the tap coefficient index, and then a weighted sum is performed. The K-Means algorithm divides the tap coefficients into K clusters and assigns each tap coefficient to the cluster corresponding to the nearest neighbor centroid based on the current centroid position of each cluster. The centroid coordinates are then recalculated based on the newly formed cluster structure by taking the arithmetic mean of the coordinates of all tap coefficients in each dimension within each cluster. This process is iteratively repeated until the centroid positions converge, meaning that the centroid offset between two consecutive iterations is below a preset threshold.

[0075] Ultimately, the goal of the algorithm is to minimize a squared error function, and the objective function is (6):

[0076]

[0077] Among them, S is the K cluster division of tap coefficients, which is represented by the vector y in the M-dimensional feature space i (i∈I) indicates that it contains non-empty and non-overlapping clusters S k , each cluster has a centroid c k (k=1,2,…,K).

[0078] It's worth noting that compared to the traditional K-Means algorithm, absolute value clustering simplifies the feature space and significantly reduces computational complexity by ignoring sign differences and clustering only based on magnitude. Especially when the number of clusters is small, absolute value clustering can generate more compact and more distinct clusters, thereby improving clustering quality.

[0079] After clustering is completed, the clustered precoded signal is filtered again using a nonlinear feedforward equalizer (the principle has been explained in the previous article) to obtain a third signal. Finally, the third signal is subjected to a modular operation using formula (1) to obtain the transmission signal.

[0080] In addition, the simplified super-Nyquist transmission method for high-speed intra-data center optical interconnection in this application is applicable to short-distance high spectral efficiency FTN IM-DD systems.

[0081] In the simplified super-Nyquist transmission method for optical interconnection within high-speed data centers in the above-mentioned embodiment, the transmitter first uses a simplified precoding technique to precode the transmission signal to obtain a precoded signal; the precoded signal is sent to the receiver; the receiver receives the precoded signal sent by the transmitter; and finally, the precoded signal is decoded to obtain a transmission signal. The above-mentioned method splits the signal processing between the transmitter and the receiver. Before the signal is transmitted, that is, the transmission signal is precoded at the transmitter, eliminating the inter-symbol interference that may be generated by the transmission signal in advance and suppressing error propagation. Simplified nonlinear equalization is used at the receiver to eliminate residual damage.

[0082] In another embodiment, Figure 3 As shown in the figure, a schematic diagram of the relationship between received optical power and bit error rate under different schemes is provided. In the FTN-PAM4 system with 56Gbaud and a compression factor of 0.8, TMP-DFE has the worst performance due to error propagation; in the 1×10 -2 Under the condition of bit error rate, the two equalizers based on Volterra and trigonometric function (TMP) nonlinearity in the traditional THP scheme show similar performance when FBE=7, which verifies the effectiveness of trigonometric function approximation of nonlinear terms. The simplified super-Nyquist transmission method for optical interconnection in high-speed data centers proposed in this application (FBF THP-TMP scheme) has comparable performance to FBFTHP-VNLE when FBE=7, with a sensitivity of about 1dB lower than that of the traditional THP scheme and a performance gap of 1.7dB compared to the upper limit of EPF-VNLE. However, this performance-complexity trade-off is particularly suitable for scenarios with strict real-time requirements, such as short-distance optical interconnection in data centers.

[0083] In another embodiment, Figure 4 and Figure 5 As shown, Figure 4 The performance differences between the absolute value-based K-means clustering algorithm proposed in this application and traditional clustering algorithms were compared. Experimental results show that the absolute value-based K-means clustering algorithm has better overall performance, especially when the number of clusters is small. As the number of clusters increases, the system bit error rate (BER) decreases significantly, and when the number of cluster centers reaches 11, the algorithm performance tends to converge. Figure 5 The BER performance of this application when different clustering algorithms are used at different optical receiving powers is further demonstrated. The experimental results show that when the absolute value clustering algorithm is used and the number of cluster centers is set to 11, the BER performance of the system is basically the same as that of the case without clustering. -2Under the conditions of , the absolute value clustering algorithm (number of cluster centers = 11) achieved a sensitivity improvement of approximately 2dB compared to the traditional clustering algorithm (number of cluster centers = 11). It is worth noting that the traditional clustering algorithm needs to increase the number of cluster centers to 17 to achieve the same performance level as the absolute value clustering algorithm (number of cluster centers = 11). This shows that the computational complexity of the absolute value clustering algorithm is reduced by 35.29%. This result verifies the effectiveness of the solution proposed in this application.

[0084] In order to more comprehensively demonstrate this solution, this embodiment provides an optional method for simplifying the super-Nyquist transmission method for optical interconnection in high-speed data centers, such as Figure 6 As shown:

[0085] S201: Perform a modular operation on a transmission signal to obtain a first signal.

[0086] S202: Feedback the first signal using a transfer function.

[0087] S203: Use the first signal to eliminate inter-symbol interference in the transmitted signal to obtain a second signal.

[0088] S204: Perform a modular operation on the second signal to obtain a precoded signal.

[0089] S205: Send the precoded signal to the receiving end.

[0090] S206: Receive a precoded signal sent by the transmitting end.

[0091] S207: Filter the precoded signal once to obtain tap coefficients of a nonlinear filter.

[0092] S208: Perform absolute value clustering processing on the tap coefficients.

[0093] S209 , performing secondary filtering on the precoded signal according to the tap coefficients after the absolute value clustering process to obtain the third signal.

[0094] S210: Perform a modular operation on the third signal to obtain a transmission signal.

[0095] The specific process of the above S201-S210 can be found in the description of the above method embodiment. The implementation principle and technical effects are similar and will not be repeated here.

[0096] Based on the same inventive concept, embodiments of the present application further provide a simplified Beyond-Nyquist transmission device for high-speed data center optical interconnection, for implementing the aforementioned simplified Beyond-Nyquist transmission method for high-speed data center optical interconnection. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the simplified Beyond-Nyquist transmission device for high-speed data center optical interconnection provided below can be found in the aforementioned limitations of the simplified Beyond-Nyquist transmission method for high-speed data center optical interconnection, and will not be further elaborated here.

[0097] In one embodiment, Figure 7 As shown, a simplified super-Nyquist transmission device for optical interconnection in high-speed data centers is provided. The device is applied to the transmitting end and includes:

[0098] The signal coding module 30 is used to precode the transmission signal using a simplified precoding technique to obtain a precoded signal;

[0099] The signal sending module 31 is configured to send the precoded signal to a receiving end.

[0100] In another embodiment, the above Figure 7 The signal encoding module 30 includes:

[0101] a first operation unit, configured to perform a modular operation on the transmit signal to obtain a first signal;

[0102] a signal encoding unit, configured to feed back the transmitted signal according to the first signal to obtain a second signal;

[0103] The second operation unit is configured to perform a modular operation on the second signal to obtain the precoded signal.

[0104] In another embodiment, the signal encoding unit in the above embodiment is specifically configured to: use a transfer function to feed back the first signal; and use the first signal to pre-eliminate inter-symbol interference in the transmitted signal to obtain the second signal.

[0105] In another embodiment, Figure 8 As shown, a simplified super-Nyquist transmission device for optical interconnection in a high-speed data center is provided, which is applied to a receiving end and includes:

[0106] The signal receiving module 32 is used to receive the precoded signal sent by the transmitting end;

[0107] The signal decoding module 33 is configured to decode the precoded signal to obtain a transmission signal.

[0108] In another embodiment, the above Figure 8 The signal decoding module 33 includes:

[0109] a signal processing unit, configured to perform simplified nonlinear filtering on the precoded signal to obtain a third signal;

[0110] A signal operation unit is used to perform a modular operation on the third signal to obtain the transmission signal.

[0111] In another embodiment, the signal processing unit in the above embodiment is specifically used to: perform a primary filtering on the precoded signal to obtain tap coefficients of a nonlinear filter; perform absolute value clustering processing on the tap coefficients; and perform a secondary filtering on the precoded signal according to the tap coefficients after the absolute value clustering processing to obtain the third signal.

[0112] The various technical features of the above embodiments can be arbitrarily integrated. To make the description concise, not all possible integrations of the various technical features in the above embodiments are described. However, as long as there is no contradiction in the integration of these technical features, they should be considered to be within the scope of this specification.

[0113] The above embodiments merely illustrate several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A simplified super-Nyquist transmission method for optical interconnection in high-speed data centers, characterized in that: Applied to a transmitting end, the method includes: Precoding the transmitted signal using a simplified precoding technique to obtain a precoded signal; The precoded signal is sent to a receiving end.

2. The simplified super-Nyquist transmission method for high-speed data center optical interconnection according to claim 1, characterized in that: The transmitted signal is precoded using a simplified precoding technique to obtain a precoded signal, including: performing a modulo operation on the transmit signal to obtain a first signal; Feedback the transmitted signal based on the first signal to obtain a second signal; Perform a modular operation on the second signal to obtain the precoded signal.

3. The simplified super-Nyquist transmission method for high-speed data center optical interconnection according to claim 2, characterized in that: Feedback is provided to the transmit signal according to the first signal to obtain a second signal, including: Using a transfer function to provide feedback to the first signal; The first signal is used to pre-eliminate intersymbol interference in the transmitted signal to obtain the second signal.

4. A simplified super-Nyquist transmission method for optical interconnection in high-speed data centers, characterized in that: Applied to a receiving end, the method includes: receiving a precoded signal sent by a transmitter; The precoded signal is decoded to obtain a transmission signal.

5. The simplified super-Nyquist transmission method for high-speed data center optical interconnection according to claim 4, characterized in that: Decoding the precoded signal to obtain a transmission signal includes: performing simplified nonlinear filtering on the precoded signal to obtain a third signal; Perform a modular operation on the third signal to obtain the transmission signal.

6. The simplified super-Nyquist transmission method for high-speed data center optical interconnection according to claim 5, characterized in that: Performing simplified nonlinear filtering on the precoded signal to obtain a third signal includes: Filtering the precoded signal once to obtain an optimal tap coefficient of the filter; performing absolute value clustering processing on the optimal tap coefficients; The precoded signal is subjected to secondary filtering according to the optimal tap coefficient after absolute value clustering processing to obtain the third signal.

7. A simplified super-Nyquist transmission device for optical interconnection in high-speed data centers, characterized in that: Applied to a transmitting end, the device includes: A signal coding module is used to precode the transmission signal using a simplified precoding technology to obtain a precoded signal; The signal sending module is used to send the precoded signal to the receiving end.

8. A simplified super-Nyquist transmission device for optical interconnection in high-speed data centers, characterized in that: Applied to a receiving end, the device includes: A signal receiving module, configured to receive a precoded signal sent by a transmitting end; The signal decoding module is used to decode the precoded signal to obtain a transmission signal.

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