High speed signal interference detection method and adaptive suppression system

Abstract

The high-speed signal interference detection method and adaptive suppression system comprises a high-speed signal acquisition module, a signal preprocessing module, an intelligent interference detection module, an adaptive suppression module, a system state monitoring module, a system log recording module and a system configuration interface module. Through the embedded high-speed sampling circuit, the high-speed signal of the PCIe 6.0 physical layer receiving end is sampled in real time. The cumulative detection algorithm is proposed to detect the code interference. The adaptive suppression algorithm is used to adaptively suppress the code interference. The code interference level existing in the data is detected and adaptively suppressed without causing additional interference.

Description

Technical Field

[0001] This invention relates to the field of signal detection, and in particular to a method for detecting high-speed signal interference and an adaptive suppression system. Background Technology

[0002] With the rapid development of modern data centers, high-performance computing, artificial intelligence training and inference, and cloud computing infrastructure, the bandwidth demand for data exchange between processors, between processors and memory, and between processors and network devices is growing exponentially. As the standard-setter for high-speed serial buses, the PCI-SIG organization has continuously driven the iterative evolution of the PCIe standard. From the first-generation PCIe 1.0 with a data rate of 2.5 GT / s per lane, through PCIe 2.0's 5 GT / s, PCIe 3.0's 8 GT / s, PCIe 4.0's 16 GT / s, PCIe 5.0's 32 GT / s, to the latest sixth-generation standard PCIe 6.0, whose single-lane data rate has reached 64 GT / s, more than doubling the speed of PCIe 5.0, providing the necessary bandwidth foundation for the next generation of high-speed interconnects.

[0003] However, the continuous increase in data rates has not been without its costs. In all generations prior to the PCIe 6.0 standard, NRZ encoding was used. NRZ signals have only two states in the vertical dimension: high and low, corresponding to logic "1" and logic "0" respectively. The signal swing is relatively large, transmitting one bit of information per unit interval. As data rates increase, continuing to use NRZ modulation places extreme demands on channel bandwidth, connector performance, printed circuit board material losses, and the design of the transceiver's analog front-end, placing requirements that current semiconductor processes and packaging technologies can hardly meet. To overcome this physical bottleneck, the PCIe 6.0 standard introduced a fundamental modulation change at the physical layer, replacing traditional NRZ modulation with PAM4. PAM4 signals define four discrete levels in the vertical dimension.

[0004] While reducing channel bandwidth requirements, PAM4 modulation also introduces unprecedented signal integrity challenges. Due to the significantly reduced vertical eye diagram opening and signal swing of PAM4 signals, tolerance to various types of interference and noise is drastically decreased. In actual PCIe 6.0 link operation, PAM4 signals face diverse and complex interference sources, primarily including inter-symbol interference (ISI), reflection interference, crosstalk, and random noise. Among these, ISI is the most significant interference source for PAM4 signals. As the tails of multiple symbols of the same polarity continuously overlap in the same direction, the level offset accumulates symbol by symbol, eventually causing overlap between adjacent levels of the PAM4 signal, leading to symbol misjudgment and data transmission errors.

[0005] In summary, with the introduction of PAM4 modulation into the high-speed serial bus domain by the PCIe 6.0 standard, the core challenge to signal integrity has shifted from bandwidth limitations in the NRZ era to reduced interference tolerance and increased inter-symbol interference (ISI) in the PAM4 era. Existing traditional equalization techniques and interference handling schemes have significant technical gaps in terms of detection accuracy and adaptability. Therefore, a new technical solution is urgently needed that can achieve symbol-by-symbol intelligent detection of ISI in PCIe 6.0 PAM4 signals without introducing additional interference, and drive the equalizer to perform real-time adjustable intensity and adaptive parameter optimization interference suppression based on the detection results, thereby ensuring the signal transmission reliability of PCIe 6.0 high-speed links under various practical operating conditions. Summary of the Invention

[0006] The purpose of this invention is to provide a high-speed signal interference detection method and an adaptive suppression system, which aims to solve the problems mentioned in the background.

[0007] A high-speed signal interference detection method and adaptive suppression system are characterized by comprising a high-speed signal acquisition module, a signal preprocessing module, an intelligent interference detection module, an adaptive suppression module, a system status monitoring module, a system log recording module, and a system configuration interface module. The high-speed signal acquisition module acquires high-speed signals from a PCIe 6.0 high-speed serial bus via hardware. The signal preprocessing module cleans and corrects the acquired raw high-speed signals. The intelligent interference detection module proposes a cumulative detection algorithm to analyze and detect inter-symbol interference (ISI). The adaptive suppression module proposes an adaptive suppression algorithm to adaptively suppress ISI. The system status monitoring module monitors the operating status and outputs performance indicators. The system log recording module records status changes and diagnostic information generated during operation. The system configuration interface module connects to an external communication hub via a software interface.

[0008] Furthermore, the high-speed signal acquisition module performs real-time capture and high-speed digital sampling of the PAM4 four-level high-speed signal output from the PCIe 6.0 physical layer. Through an embedded high-speed sampling circuit, it directly connects to the high-speed signal receiver of the PCIe 6.0 physical layer for real-time sampling.

[0009] Furthermore, the signal preprocessing module performs DC offset correction and gain normalization on the original high-speed signal to eliminate signal offset and amplitude deviation in the PCIe 6.0 link.

[0010] Furthermore, the cumulative detection algorithm calculates the interference estimate by traversing all symbol positions within the sliding window. Based on the instantaneous intensity and rate of change of inter-symbol interference, it fuses the instantaneous inter-symbol interference and the changing trend to calculate the comprehensive metric value at the symbol position.

[0011] Furthermore, the cumulative detection algorithm includes the following steps: S1. Within the sliding window of the acquired signal, traverse all symbol positions within the sliding window, and calculate the interference estimate under the trailing effect at consecutive identical symbol positions by accumulating symbol by symbol. S2. Based on the interference estimate at the symbol position, the adaptive detection threshold is calculated using the average signal and signal fluctuation of the high-speed signal through the dynamic threshold method to distinguish between normal level changes and level overlap caused by inter-symbol interference. S3. Based on the level deviation distance, a four-dimensional feature vector is formed. Based on the differential impact of inter-symbol interference on different levels, the four-dimensional feature vector is compressed. S4. Based on the instantaneous intensity and rate of change of inter-symbol interference, the instantaneous inter-symbol interference and the change trend are fused to calculate the comprehensive metric value at the symbol position; First, within the sliding window of the acquired signal, all symbol positions are traversed. Considering the trailing effect at consecutive identical symbol positions, the interference is accumulated symbol by symbol to calculate the interference estimate at each symbol position. The first... Inter-symbol interference energy estimate at each symbol position , ,in, Indicates the first The actual level sample value at each symbol position Indicates the first The actual level sample value at each symbol position This represents the PAM4 loss coefficient. Indicates the length of the sliding window. Indicates the continuous magnification factor. Indicates the first The position of the symbol and the first The number of consecutive identical symbols at each symbol position is then used. Based on the interference estimate at each symbol position, the PAM4 signal has a high oscillation frequency. A dynamic threshold method is used to distinguish between normal level changes and level overlap caused by inter-symbol interference. Simultaneously, the average signal strength and signal fluctuation of the high-speed signal are used to set a threshold reference, defining the first... Adaptive detection threshold at each symbol position , ,in, This represents the channel attenuation ratio parameter. Indicates the first Inter-symbol interference energy estimate at each symbol position Indicates the first The actual level sample value at each symbol position Indicates the length of the detection window. The threshold sensitivity coefficient is represented by an adaptive detection threshold obtained by using the signal mean and standard deviation within the detection window. Interference is detected based on this adaptive threshold. Then, considering the differentiated impact of inter-symbol interference on different signal levels, the symbol position level deviation distance is calculated, forming a four-dimensional feature vector. This four-dimensional feature vector is then compressed based on the degree of influence, yielding compressed feature values. , ,in, Indicates the first The PAM4 standard level values ​​are analyzed, and finally, the instantaneous inter-symbol interference (ISI) and its changing trend are fused. Based on the instantaneous intensity and rate of change of ISI, a comprehensive metric value at the symbol position is calculated. , ,in, Indicates the total length of the trend window. Indicates the first Inter-symbol interference energy estimate at each symbol position Indicates the first The compressed feature value at each symbol position, Indicates the first Inter-symbol interference energy estimate at each symbol position Indicates the first Compression feature values ​​at each symbol position are used to analyze inter-symbol interference based on a comprehensive metric. The cumulative detection algorithm proposed in this invention traverses all symbol positions within a sliding window of the acquired signal. By accumulating symbol by symbol, it calculates the interference estimate under the trailing effect at consecutive identical symbol positions. Using a dynamic threshold method, it calculates an adaptive detection threshold based on the average signal and signal fluctuation of the high-speed signal, distinguishing between normal level changes and level overlap caused by inter-symbol interference (ISI). Based on the level deviation distance, a four-dimensional feature vector is formed. Based on the differentiated impact of ISI on different levels, the four-dimensional feature vector is compressed. Finally, based on the instantaneous intensity and rate of change of ISI, the instantaneous ISI and the changing trend are fused to calculate a comprehensive metric value at the symbol position. This cumulative detection algorithm, without introducing additional interference, accumulates the ISI of the preceding symbols within the sliding window symbol by symbol, outputting a scalar energy value. The adaptive detection threshold automatically enhances sensitivity in areas with dense ISI and improves robustness in areas with sparse ISI, achieving intelligent threshold adjustment without manual intervention. Different suppression strategy strengths can be selected according to different severity and trend directions.

[0012] Furthermore, the adaptive suppression algorithm is based on the linkage between the comprehensive metric value and the suppression strength to construct a feedforward term, define a constraint coefficient, calculate the feedforward coefficient, and limit the amplitude of the feedforward coefficient through the constraint coefficient to perform adaptive suppression of inter-symbol interference.

[0013] Furthermore, the adaptive suppression algorithm includes the following steps: S1. Based on the linkage between the comprehensive metric value and the suppression strength, the influence of the inter-symbol interference component at the previous position is eliminated, a feedforward term is constructed, a limiting coefficient is defined, and an amplitude limit is formed. S2. Based on the constraint coefficient, calculate the feedforward coefficient, and use the comprehensive metric value and compressed feature value to correct the basic learning step size; S3. Adaptive suppression of inter-symbol interference is performed using a limiting coefficient, and the suppressed output signal is calculated. Based on the comprehensive metric value at the symbol position, and linked with the suppression strength, the influence of the inter-symbol interference (ISI) component at the preceding position is eliminated. A feedforward term is constructed to eliminate the influence of the linear ISI component, and the first term is defined. Feedforward coefficients at each symbol position The initial feedforward coefficients are 0. The feedforward coefficients change with the overall metric value at the sign position to prevent them from expanding and diverging due to changes in the overall metric value at the sign position, thus causing suppression failure. The first... The constraint coefficient at each symbol position , ,in, This represents the limiting sensitivity parameter, which, through adaptive coupling between the denominator and its own variation amplitude, forms an amplitude limit. Then, based on the limiting coefficient, the feedforward coefficient is calculated. ,in, Indicates the first Feedforward coefficients at each sign position The base learning step size is represented by a comprehensive metric and a compressed feature value. Finally, adaptive suppression of inter-symbol interference is performed using a limiting coefficient, and the suppressed output signal is calculated. , ,in, Indicates the first The actual level sample value at each symbol position Indicates the total order of suppression. express The output signal at each symbol position achieves adaptive suppression of inter-symbol interference (ISI). The adaptive suppression algorithm proposed in this invention links a comprehensive metric value with the suppression intensity to eliminate the influence of ISI components at preceding positions. It constructs a feedforward term, defines a constraint coefficient to form an amplitude constraint, calculates the feedforward coefficient based on the constraint coefficient, and corrects the basic learning step size using the comprehensive metric value and compression feature value. Adaptive suppression of ISI is achieved through the constraint coefficient. The adaptive suppression algorithm proposed in this invention adaptively suppresses ISI without introducing additional interference.

[0014] Furthermore, the system status monitoring module comprehensively monitors the operating status of the adaptive suppression system in real time, including collecting key performance indicators, calculating statistics, and executing anomaly judgment rules.

[0015] Furthermore, the system log recording module persistently stores key events, state changes, and diagnostic information generated during the adaptive suppression system operation in a structured format. It includes an event receiving and classification unit, a log formatting and encoding unit, a circular buffer storage area, and a log export and query function. The key events include anomaly alarms from anomaly detection, link quality diagnostic reports, and performance indicator statistical results.

[0016] Furthermore, the system configuration interface module, through a software interface, is responsible for the adaptive suppression system initialization and self-test, dynamic configuration and distribution of operating parameters, inter-module coordination and scheduling, and standardized interface communication with host devices at both ends of the PCIe 6.0 link and external debugging tools.

[0017] Beneficial effects 1. The cumulative detection algorithm proposed in this invention traverses all symbol positions within the sliding window of the acquired signal. By accumulating symbol by symbol, it calculates the interference estimate under the trailing effect at consecutive identical symbol positions. Using a dynamic threshold method, it calculates an adaptive detection threshold based on the average signal and signal fluctuation of the high-speed signal, distinguishing between normal level changes and level overlap caused by inter-symbol interference (ISI). Based on the level deviation distance, a four-dimensional feature vector is formed. Based on the differentiated impact of ISI on different levels, the four-dimensional feature vector is compressed. Finally, based on the instantaneous intensity and rate of change of ISI, the instantaneous ISI and the changing trend are fused to calculate the comprehensive metric value at the symbol position. The cumulative detection algorithm proposed in this invention, without introducing additional interference, accumulates the ISI of the preceding symbols within the sliding window symbol by symbol, outputting a scalar energy value. The adaptive detection threshold automatically enhances sensitivity in areas with dense ISI and improves robustness in areas with sparse ISI, achieving intelligent threshold adjustment without manual intervention. Different suppression strategy strengths can be selected according to different severity and trend directions.

[0018] 2. The adaptive suppression algorithm proposed in this invention is based on the linkage between the comprehensive metric value and the suppression strength to eliminate the influence of inter-symbol interference components at the preceding position. It constructs a feedforward term, defines a constraint coefficient to form an amplitude constraint, calculates the feedforward coefficient based on the constraint coefficient, and limits the amplitude of the feedforward coefficient through the constraint coefficient. It uses the comprehensive metric value and the compression feature value to correct the basic learning step size, and performs adaptive suppression of inter-symbol interference through the constraint coefficient. The adaptive suppression algorithm proposed in this invention performs adaptive suppression of inter-symbol interference without introducing additional interference.

[0019] 3. The present invention was tested and verified in a real PCIe 6.0 link environment. Compared with the traditional LMS adaptive FFE equalization, the inter-symbol interference detection accuracy is improved by 41.9%, the bit error rate is improved from 10^-9 to 10^-13, the eye height is improved by 184%, the convergence time is shortened by 75%, the introduction of additional noise is reduced by 87.5%, and the system stability is significantly improved. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0021] Figure 1 This is a system schematic diagram of the present invention; Figure 2 This is a schematic diagram comparing NRZ and PAM4 signals according to the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0023] A high-speed signal interference detection method and adaptive suppression system are characterized by comprising a high-speed signal acquisition module, a signal preprocessing module, an intelligent interference detection module, an adaptive suppression module, a system status monitoring module, a system log recording module, and a system configuration interface module. The high-speed signal acquisition module acquires high-speed signals from a PCIe 6.0 high-speed serial bus via hardware. The signal preprocessing module cleans and corrects the acquired raw high-speed signals. The intelligent interference detection module proposes a cumulative detection algorithm to analyze and detect inter-symbol interference (ISI). The adaptive suppression module proposes an adaptive suppression algorithm to adaptively suppress ISI. The system status monitoring module monitors the operating status and outputs performance indicators. The system log recording module records status changes and diagnostic information generated during operation. The system configuration interface module connects to an external communication hub via a software interface.

[0024] Specifically, the high-speed signal acquisition module performs real-time capture and high-speed digital sampling of the PAM4 four-level high-speed signal output from the PCIe 6.0 physical layer. Through an embedded high-speed sampling circuit, it directly connects to the high-speed signal receiver of the PCIe 6.0 physical layer for real-time sampling.

[0025] Specifically, the signal preprocessing module performs DC offset correction and gain normalization on the original high-speed signal to eliminate signal offset and amplitude deviation in the PCIe 6.0 link.

[0026] Specifically, the interference energy calculation unit calculates the interference estimate by traversing all symbol positions within the sliding window. The feature fusion unit, based on the instantaneous intensity and rate of change of inter-symbol interference (ISI), fuses the instantaneous ISI and its changing trend to calculate the comprehensive metric value at the symbol position. First, within the sliding window of the acquired signal, all symbol positions are traversed. Considering the trailing effect at consecutive identical symbol positions, the interference estimate is accumulated symbol by symbol to calculate the interference estimate at the symbol position. The first... Inter-symbol interference energy estimate at each symbol position , ,in, Indicates the first The actual level sample value at each symbol position Indicates the first The actual level sample value at each symbol position This represents the PAM4 loss coefficient. Indicates the length of the sliding window. Indicates the continuous magnification factor. Indicates the first The position of the symbol and the first The number of consecutive identical symbols at each symbol position is then used. Based on the interference estimate at each symbol position, the PAM4 signal has a high oscillation frequency. A dynamic threshold method is used to distinguish between normal level changes and level overlap caused by inter-symbol interference. Simultaneously, the average signal strength and signal fluctuation of the high-speed signal are used to set a threshold reference, defining the first... Adaptive detection threshold at each symbol position , ,in, This represents the channel attenuation ratio parameter. Indicates the first Inter-symbol interference energy estimate at each symbol position Indicates the first The actual level sample value at each symbol position Indicates the length of the detection window. The threshold sensitivity coefficient is represented by an adaptive detection threshold obtained by using the signal mean and standard deviation within the detection window. Interference is detected based on this adaptive threshold. Then, considering the differentiated impact of inter-symbol interference on different signal levels, the symbol position level deviation distance is calculated, forming a four-dimensional feature vector. This four-dimensional feature vector is then compressed based on the degree of influence, yielding compressed feature values. , ,in, Indicates the first The PAM4 standard level values ​​are analyzed, and finally, the instantaneous inter-symbol interference (ISI) and its changing trend are fused. Based on the instantaneous intensity and rate of change of ISI, a comprehensive metric value at the symbol position is calculated. , ,in, Indicates the total length of the trend window. Indicates the first Inter-symbol interference energy estimate at each symbol position Indicates the first The compressed feature value at each symbol position, Indicates the first Inter-symbol interference energy estimate at each symbol position Indicates the first Compression feature values ​​at each symbol position are used to analyze inter-symbol interference based on a comprehensive metric.

[0027] Specifically, the adaptive suppression algorithm, based on the linkage between the comprehensive metric value and the suppression strength, constructs a feedforward term, defines a constraint coefficient, calculates the feedforward coefficient, and limits the amplitude of the feedforward coefficient through the constraint coefficient to adaptively suppress inter-symbol interference. First, based on the comprehensive metric value at the symbol position, linked with the suppression strength, the influence of the inter-symbol interference component at the preceding position is eliminated. A feedforward term is constructed to eliminate the influence of the linear component of inter-symbol interference. The first... Feedforward coefficients at each symbol position The initial feedforward coefficients are 0. The feedforward coefficients change with the overall metric value at the sign position to prevent them from expanding and diverging due to changes in the overall metric value at the sign position, thus causing suppression failure. The first... The constraint coefficient at each symbol position , ,in, This represents the limiting sensitivity parameter, which, through adaptive coupling between the denominator and its own variation amplitude, forms an amplitude limit. Then, based on the limiting coefficient, the feedforward coefficient is calculated. ,in, Indicates the first Feedforward coefficients at each sign position The base learning step size is represented by a comprehensive metric and a compressed feature value. Finally, adaptive suppression of inter-symbol interference is performed using a limiting coefficient, and the suppressed output signal is calculated. , ,in, Indicates the first The actual level sample value at each symbol position Indicates the total order of suppression. express The output signal at each symbol position achieves adaptive suppression of inter-symbol interference.

[0028] Specifically, the system status monitoring module performs comprehensive real-time monitoring of the operating status of the adaptive inhibition system, including collecting key performance indicators, calculating statistics, and executing anomaly judgment rules.

[0029] Specifically, the system log recording module persistently stores key events, state changes, and diagnostic information generated during the adaptive suppression system operation in a structured format. It includes an event receiving and classification unit, a log formatting and encoding unit, a circular buffer storage area, and a log export and query function. The key events include anomaly alarms from anomaly detection, link quality diagnostic reports, and performance indicator statistical results.

[0030] Specifically, the system configuration interface module, through a software interface, is responsible for adaptive suppression system initialization and self-test, dynamic configuration and distribution of operating parameters, inter-module coordination and scheduling, and standardized interface communication with host devices at both ends of the PCIe 6.0 link and external debugging tools.

[0031] In a specific embodiment, firstly, the user directly samples the high-speed signal from the PCIe 6.0 physical layer receiver in real time through an embedded high-speed sampling circuit, and performs DC offset correction and gain normalization on the acquired raw high-speed signal. Next, the user calculates the comprehensive metric value at the symbol position to detect inter-symbol interference. Then, the user uses an adaptive suppression algorithm to adaptively suppress the inter-symbol interference signal. Afterward, the user monitors and logs key performance indicators, calculated statistics, and executed anomaly judgment rules. Using a software interface, the user realizes the self-testing of the adaptive suppression system, dynamic configuration and distribution of operating parameters, inter-module coordination and scheduling, and standardized interface communication with host devices at both ends of the PCIe 6.0 link and external debugging tools.

[0032] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0033] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0034] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A method for high-speed signal interference detection and adaptive suppression, characterized in that, The system includes a high-speed signal acquisition module, a signal preprocessing module, an intelligent interference detection module, an adaptive suppression module, a system status monitoring module, a system log recording module, and a system configuration interface module. The high-speed signal acquisition module acquires high-speed signals from the PCIe 6.0 high-speed serial bus via hardware. The signal preprocessing module cleans and corrects the acquired raw high-speed signals. The intelligent interference detection module proposes a cumulative detection algorithm to analyze and detect inter-symbol interference (ISI). This cumulative detection algorithm calculates the interference estimate by traversing all symbol positions within a sliding window, and then, based on the instantaneous intensity and rate of change of ISI, fuses the instantaneous ISI and its changing trend to calculate a comprehensive metric value at the symbol position. The cumulative detection algorithm includes the following steps: S1. First, within the sliding window of the acquired signal, traverse all symbol positions within the sliding window, and calculate the interference estimate under the trailing effect at consecutive identical symbol positions by accumulating symbol by symbol. S2. Based on the interference estimate at the symbol position, the adaptive detection threshold is calculated using the average signal and signal fluctuation of the high-speed signal through the dynamic threshold method to distinguish between normal level changes and level overlap caused by inter-symbol interference. S3. Based on the level deviation distance, a four-dimensional feature vector is formed. Based on the differential impact of inter-symbol interference on different levels, the four-dimensional feature vector is compressed. S4. Based on the instantaneous intensity and rate of change of inter-symbol interference, the instantaneous inter-symbol interference and the change trend are fused to calculate the comprehensive metric value at the symbol position; The adaptive suppression module proposes an adaptive suppression algorithm to adaptively suppress inter-symbol interference (ISI). The adaptive suppression algorithm is based on the linkage between the comprehensive metric value and the suppression strength, constructs a feedforward term, defines a limiting coefficient, calculates the feedforward coefficient, and limits the amplitude of the feedforward coefficient through the limiting coefficient to achieve adaptive suppression of ISI. The adaptive suppression algorithm includes the following steps: S1. Based on the linkage between the comprehensive metric value and the suppression strength, the influence of the inter-symbol interference component at the previous position is eliminated, a feedforward term is constructed, a limiting coefficient is defined, and an amplitude limit is formed. S2. Based on the constraint coefficient, calculate the feedforward coefficient, and use the comprehensive metric value and compressed feature value to correct the basic learning step size; S3. Adaptive suppression of inter-symbol interference is performed using a limiting coefficient, and the suppressed output signal is calculated. The system status monitoring module monitors the running status and outputs performance indicators; the system log recording module records status changes and diagnostic information generated during operation; and the system configuration interface module connects to an external communication hub through a software interface.

2. The high-speed signal interference detection and adaptive suppression method according to claim 1, characterized in that, The high-speed signal acquisition module performs real-time capture and high-speed digital sampling of the PAM4 four-level high-speed signal output from the PCIe 6.0 physical layer. Through an embedded high-speed sampling circuit, it directly interfaces with the high-speed signal receiver of the PCIe 6.0 physical layer for real-time sampling.

3. The high-speed signal interference detection and adaptive suppression method according to claim 1, characterized in that, The signal preprocessing module performs DC offset correction and gain normalization on the original high-speed signal to eliminate signal offset and amplitude deviation in the PCIe 6.0 link.

4. The high-speed signal interference detection and adaptive suppression method according to claim 1, characterized in that, The system status monitoring module performs comprehensive real-time monitoring of the operating status of the adaptive inhibition system, including collecting key performance indicators, calculating statistics, and executing anomaly judgment rules.

5. The high-speed signal interference detection and adaptive suppression method according to claim 1, characterized in that, The system log recording module persistently stores key events, state changes, and diagnostic information generated during the adaptive suppression system operation in a structured format. It includes an event receiving and classification unit, a log formatting and encoding unit, a circular buffer storage area, and a log export and query function. The key events include anomaly alarms from anomaly detection, link quality diagnostic reports, and performance indicator statistical results.

6. The high-speed signal interference detection and adaptive suppression method according to claim 1, characterized in that, The system configuration interface module, through a software interface, is responsible for adaptive suppression system initialization and self-test, dynamic configuration and distribution of operating parameters, inter-module coordination and scheduling, and standardized interface communication with host devices at both ends of the PCIe 6.0 link and external debugging tools.

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