498 results about "Bit error rate" patented technology

The invention relates to the technical field of communication, in particular to a dynamic priority dual-mode communication fault-tolerant switching method and equipment, and aims to solve the problems of communication interruption and service quality reduction when a main link is degraded in a complex electromagnetic environment. According to the method, a dynamic priority evaluation model and a dual-mode protocol cooperation mechanism are constructed, throughput, bit error rate, delay jitter, task semantic priority and aging constraint data of a main link and a standby link are collected in real time, a priority weight and a communication mode decision matrix are generated through combined modeling, an atomization switching instruction is executed according to the priority weight and the communication mode decision matrix, and a communication mode is switched. And completing path reconstruction and resource redistribution. The system further introduces link health prediction, a resource reservation pool and an online learning feedback loop, and supports fault pre-judgment, key task preemption and model adaptive optimization. According to the method, the limitation of a static threshold is broken through, the task semantics and channel state joint scheduling is realized, and the communication reliability, the service continuity and the intelligent fault-tolerant capability of a distributed system in a high-risk scene are remarkably improved.

Provided are a semiconductor device for changing a link speed and a link width of a peripheral component interconnect express (PCIe) link and an operating method thereof. The semiconductor device includes the PCIe link including a plurality of lanes, and a controller configured to transceive a data link layer packet (DLLP) including a number of times of transition and a maximum number of times of transition from an L0 state to an L0p state through the PCIe link, based on a first bit error rate (BER) of a data packet received through the PCIe link and a first criterion value in the L0 state, and determine whether to perform at least one of a link speed changing operation performed in a recovery state, or a link width changing operation performed in the L0p state, based on the number of times of transition and the maximum number of times of transition.

The invention relates to a computing power resource dynamic scheduling method, device and equipment based on deep reinforcement learning and a medium thereof, and the method comprises the steps: constructing a joint state vector through real-time fusion of a network layer channel state and computing layer node load data, and driving a strategy network to generate transmission parameters and resource allocation actions of cooperative control; the code modulation parameters of the wireless transmission module and the computing resource proportion of the target node are synchronously configured in the execution layer, and dynamic task scheduling in the channel decay environment is achieved; a multi-target reward mechanism is designed to couple transmission bit error rate penalty, resource utilization efficiency and task timeliness evaluation indexes, and a reinforcement learning agent is guided to balance communication stability and computing power demand conflicts; according to the method, strategy network parameters are optimized through time difference errors, closed-loop feedback is formed in combination with channel state prediction and node load updating, the problems of network and calculation layer splitting decision, insufficient dynamic adaptability and multi-target optimization imbalance in the prior art are effectively solved, and the task scheduling success rate in the time-varying wireless environment is improved.

The invention discloses a high-density NAND storage medium self-adaptive repairing method which comprises the following steps: a main control chip separates a target feature vector representing the real aging trend of a storage unit from original read data containing random physical noise; the main control chip deduces the target feature vector by using a full-integer recursive prediction model to obtain a health state prediction result of the storage unit in a future preset time period; wherein the health state prediction result comprises an optimal read reference voltage offset and an estimated bit error rate growth curve; and the main control chip adjusts the charge distribution pattern and programming voltage parameters of the data on the storage unit in the data writing stage according to the health state prediction result. By means of the mode, the problems of firmware assembly line blocking and performance jitter caused by floating point operation and huge model parameter loading can be solved under the limited hardware environment that the main control chip only supports integer operation and on-chip cache is extremely small.

The invention relates to the technical field of communication, and discloses a network communication chip signal interference suppression processing method. The method comprises the following steps: acquiring a local oscillator phase jitter sequence in real time through an on-chip phase noise monitoring unit; estimating Doppler frequency shift and channel coherence time based on the sequence; dynamically adjusting the closed-loop bandwidth of the phase-locked loop; and generating a phase compensation signal, and performing time-varying channel minimum mean square error equalization in combination with a received baseband signal to eliminate inter-symbol interference. The system integrates a phase noise monitoring function module, a channel parameter estimation function module, a phase-locked loop bandwidth regulation function module, a phase compensation generation function module and an interference joint elimination function module. By means of dynamic bandwidth reconstruction and high-precision phase compensation, the bit error rate under high-speed movement is remarkably reduced, the 5G millimeter wave communication standard requirement is met, and the method has the advantages of being achieved on a whole chip, low in delay and high in robustness.

The invention discloses a covert communication optimization method based on deep reinforcement learning under limited character input, and belongs to the technical field of wireless communication. According to the method, an optimization problem which takes the minimum average bit error rate as a target function and takes hidden requirements, power and the like as constraints is constructed on a hidden communication model of a transmitting end, a receiving end, an intelligent reflecting surface and a monitor. Firstly, the bit error rate of a receiving end is given, the detection performance of a monitor is analyzed, and the KL divergence upper bound and the corresponding hidden constraint are deduced. The objective function and the constraint set of the constructed problem are non-convex, the optimization problem is trained and solved by constructing the optimization problem into a deep reinforcement learning model, the modulation order which is difficult to optimize by a traditional algorithm is optimized by using the advantages of deep reinforcement learning, a deep deterministic strategy gradient algorithm is selected to train the model, and then the error rate is minimized. And the covert communication performance is improved.

The invention discloses a communication base station spectrum signal anti-interference method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring radio frequency spectrum signals in a coverage range of a base station, extracting interference signal features to generate a multi-dimensional feature vector group, constructing an interference propagation prediction matrix, calculating an interference diffusion probability, and generating a prediction data set. And according to the prediction data set, calculating anti-interference parameters under different interference combinations and constructing a strategy preset library. And when a target interference signal is detected, feature parameters are extracted to be matched with the prediction data set, and a corresponding anti-interference parameter combination is selected for processing. In the processing process, the monitored signal-to-noise ratio and the bit error rate are compared with a reference threshold value, feedback evaluation data are obtained, and preset library parameter configuration is updated. By implementing the technical scheme provided by the invention, the communication accuracy of the communication base station can be improved.

The embodiment of the invention discloses a test circuit, a test method of a data transceiving circuit and an integrated circuit. According to the embodiment of the invention, in a test process, an output receiving data sequence is verified on one side of a tested data receiving and transmitting circuit, so that a continuous multi-bit state transition mode of the receiving data sequence is intercepted and determined through a sliding window based on a bit state sequence obtained through verification; and recording the occurrence times of all possible state transition modes in the data sequence to obtain a transition state matrix capable of describing channel attributes and bit error rate performance. Therefore, a tester can further evaluate and calculate related parameters of the bit error rate performance based on the recorded transition state matrix quickly and accurately. Furthermore, the test circuit can be integrated in an integrated circuit, so that the test is further facilitated.

Data is often stored in a multi-level memory (e.g., a quad-level cell (QLC)) using a mapping that balances the bit error rate among the various pages in the memory. The number of sense operations needed to read each page is also relatively balanced. The data storage device presented herein can decide to store data using a non-balanced mapping if there is a desire to later read a low-resolution version of the data. With a non-balanced mapping, fewer sense operations are needed to read the lower page of data, which contains the low-resolution version of the data. Other pages can be read if a higher-resolution version of the data is desired, and techniques can be used to mitigate the higher bit error rate that may be encountered in those other pages because of use of the non-balanced mapping.

The invention relates to the technical field of semiconductor radio frequency signal processing, and discloses a narrowband signal receiving system and method, and the system comprises a coarse frequency offset value capturing module, a carrier phase locking module, a digital domain carrier tracking module, a timing synchronization and multipath correction module, and a vector amplitude phase correction and equalization module. In the prior art, the technical problems of lock losing, judgment errors and high bit error rate caused by serious multipath interference and frequency offset drifting of narrow-band signals are difficult to solve in complex environments with multipath effect and high frequency offset, such as urban canyons, basements and warehouses. According to the invention, by introducing analog phase locking, digital fine tuning, dual-correlation symbol synchronization based on multi-path sensing and vector amplitude-phase combined compensation overall architecture with cooperation of analog and digital, the problems of synchronization failure and demodulation performance reduction caused by multi-path distortion in the prior art are avoided; and the sensitivity and the overall reliability of radio frequency signal receiving are remarkably improved.

The invention provides an optical access network PON port fault prediction and operation and maintenance support method and system, and the method comprises the steps: collecting real-time multi-index sequences of optical power, bit error rate, temperature, frame loss rate, business load and the like, automatically extracting a long-term trend based on variational mode decomposition, constructing a residual sequence, generating a state transition map through employing a Markov transition field algorithm, and carrying out the fault prediction and operation and maintenance support of the PON port. And future operation state distribution prediction is realized through the LSTM neural network. And after an abnormal threshold is dynamically adjusted in combination with quantile regression, a time sequence prediction result and a threshold response are fused to output a comprehensive fault probability score, and an early warning signal is triggered through exponential smoothing and continuity check, so that the progressive fault detection accuracy and advancement can be improved, and an efficient and steady prediction and early warning basis is provided for intelligent operation and maintenance of the PON port.

The invention discloses a sweep frequency interference modeling and interference optimization method for a remote control data link of an unmanned aerial vehicle. The invention provides: 1) a transmitter-receiver adaptive modeling system based on unmanned aerial vehicle signal priori parameters; 2) an interference source generation system which comprises four modulation types of single-tone interference, random binary code modulation interference, PN code MSK interference and pulse interference and integrates two modes of stepping frequency sweeping and frequency hopping frequency sweeping; and 3) an interference strategy intelligent optimization system based on a particle swarm optimization algorithm. Performing similarity verification through DTW, and establishing a high-fidelity communication link model; connecting an interference source to a communication system by adopting a front door coupling mechanism, and constructing a bit error rate-oriented black box optimization model; and finally, carrying out mechanism analysis on an optimization result through a multi-dimensional interference effectiveness evaluation system. According to the method, an efficient interference parameter optimization scheme is provided for the unmanned aerial vehicle countering defense system, the optimization convergence speed is remarkably improved while the interference efficiency is guaranteed, and the method has important application value in the field of low-altitude security and protection.

The invention provides a vehicle-gauge-level dynamic equalization SerDes system and a working method, and belongs to the technical field of high-speed serial communication, and the method is characterized in that the system comprises an environment feedback module which collects temperature, cable impedance and common-mode noise data in real time; the dynamic equalizer is used for adjusting parameters of the pre-emphasis, the continuous time linear equalizer and the decision feedback equalizer based on the data acquired by the environment feedback module; the link health monitoring unit is used for counting the bit error rate through a hardware counter and triggering a self-repairing process; and the repair controller is used for executing a self-repair process which comprises redundant channel switching, transmission rate degradation and link retraining operation. According to the invention, the hardware-level environment adaptive equalization and millisecond-level self-healing capability of the SerDes link can be realized, and meanwhile, the redundancy design cost is reduced.

The invention discloses an emergency communication guarantee method and system based on dynamic resource scheduling, and particularly relates to the technical field of wireless communication. According to the method, communication requirements, network states and environment interference multi-dimensional data are collected through a multi-source sensor, noise reduction and normalization preprocessing are carried out on the data, and a standardized data set is generated; fusing subjective and objective weights by adopting an analytic hierarchy process-entropy weight method, and calculating a dynamic priority value of each communication demand in combination with a service rule; then, a resource scheduling strategy library is called, channels, bandwidths and base station access resources are distributed through an improved greedy algorithm according to the priority and the resource margin, and an initial scheduling scheme is generated; and after the scheme is executed, starting full-link quality real-time monitoring, and if any one of key parameters such as bit error rate, time delay and the like is lower than a preset threshold value, triggering closed-loop dynamic adjustment: updating data, recalculating priority and calling an emergency optimization strategy to adjust resource allocation in a targeted manner until the link quality reaches the standard.

The invention relates to a satellite mobile communication antenna adaptive beam prediction and control method, which comprises the following steps: acquiring motion data of a user terminal, signal state data of a satellite antenna receiving end, satellite-ground attitude data of a satellite and environment interference data of the ground, and processing to obtain a multi-source data set; the method comprises the following steps: constructing a geometric correlation feature, a gain correlation feature, a sidelobe correlation feature and an array element phase correlation feature of a multi-source data set and beam parameters, constructing a correlation matrix, and splicing the correlation matrix with the multi-source data set to obtain a complete input feature set; a beam prediction model is constructed, and training and verification are carried out; and converting the output of the beam prediction model into a control signal to drive an antenna array element to adjust, correcting model parameters based on the link signal-to-noise ratio, the bit error rate and the throughput collected by the user terminal, and splitting / combining the beam. According to the method, the beam parameter prediction precision and environment adaptability can be improved, interference is suppressed, resource allocation is optimized, and stability and high efficiency of satellite communication in a high-dynamic complex environment are guaranteed.

The invention relates to the technical field of optical fiber communication monitoring, and discloses an electric power communication line monitoring method and system based on optical fiber multi-source data fusion. The method comprises the following steps: calculating the weight of each data source through a confidence evaluation neural network according to the historical stability and bit error rate variation of each data source, carrying out weighted fusion on each weight and a normalized data feature, calculating a communication service quality correction factor according to a bit error rate and an optical signal-to-noise ratio, and correcting to obtain a line state fusion feature value; when the ratio of the optical fiber signal data weight to the communication performance data weight exceeds a set threshold value, extracting an optical fiber disturbance parameter and an optical power sequence of an adjacent monitoring position, and calculating a compensation disturbance value through optical power weighted least square fitting; and calculating the theoretical optical power variation according to the compensation disturbance value and the optical fiber loss coefficient, and taking the deviation between the theoretical optical power variation and the measured value as a compensation effectiveness criterion. The accuracy and reliability of optical fiber communication line monitoring are improved.

The invention relates to the technical field of wireless communication, in particular to an emergency LoRa communication method based on multi-band cooperation and dynamic resource modulation. The method comprises the following steps: S1, dynamically acquiring communication environment information, channel quality information and network load information; s2, dynamically analyzing and selecting an initial target spreading factor based on the information; s3, setting a preset factor optimization target by taking the minimum bit error rate as a target, and dynamically adjusting and obtaining a current optimal spreading factor; and S4, based on the current optimal spread spectrum factor, performing dynamic allocation of spectrum resources by adopting a dynamic channel allocation mechanism and a reinforcement learning algorithm of adaptive network load balance, and learning a network state in real time through the reinforcement learning algorithm so as to dynamically select an optimal channel allocation strategy to perform emergency communication. According to the method, communication parameters can be adaptively adjusted, the network efficiency and reliability are remarkably improved, the system capacity, the real-time performance and the robustness in a mobile scene are enhanced, and reliable communication guarantee is provided for rescue in an extreme environment.

The invention relates to the field of communication, and particularly discloses a multi-band communication intelligent main and auxiliary frequency band switching method and system, and the method comprises the steps: measuring the signal-to-noise ratio, bit error rate and interference intensity of a main frequency band and an auxiliary frequency band, recording the original value of an index, and providing data support for quality evaluation; the signal-to-noise ratio, the bit error rate and the interference intensity are normalized, the comprehensive mass fraction is calculated according to the weight, and the higher the fraction is, the better the frequency band quality is; setting a switching threshold value, a hysteresis threshold value and the minimum residence time as a plurality of cycles; when the main frequency band is currently used, if the comprehensive score of the main frequency band is smaller than the difference between the switching threshold and the hysteresis threshold and the score of the auxiliary frequency band is high, the auxiliary frequency band is switched to if the residence time is met; when the auxiliary frequency band is currently used, if the main frequency band fraction is greater than the sum of the switching threshold and the hysteresis threshold and is high, and the residence time is met, the main frequency band is switched back; analyzing the quality trend of a main frequency band by using a sliding window with a plurality of lengths, and if continuous deterioration is predicted, switching an auxiliary frequency band in advance; and if the fractions of the main and auxiliary frequency bands are high, parallel joint transmission is started.

The present invention relates to the technical field of optical communications and particularly relates to a method for implementing a signal-to-noise ratio reporting function based on a CDR solution, and an optical module. In the present invention, eye diagram data is obtained by means of scanning data in a communication link, and after the eye diagram data is processed, the average value thereof is obtained, so as to obtain a signal-to-noise ratio value to be reported, thereby achieving SNR reporting of the optical module based on the CDR solution, effectively improving the accuracy and stability of the SNR reporting, enabling the optical module based on the CDR solution to also effectively measure the link SNR indicator health status, and providing an effective test method and means for testing the chromatic dispersion of the optical module, investigating the influence of temperature and MPI on the SNR, and the like. In addition, a bit error rate can also be reduced by guiding the configuration of FEC correction and equalization compensation, thereby improving the quality of signal transmission.

The invention discloses an underground positioning method based on UWB (Ultra Wideband) and IMU (Inertial Measurement Unit). The UWB and the IMU are integrated on the positioning card, and the plurality of underground signal transmitters communicate with the positioning card and the positioning base station. The positioning base station processing module executes the following method: receiving first positioning data which is sent by a signal transmitter and contains initial positioning data determined by UWB, IMU data and data packet association information of at least one path; selecting a target path according to the IMU data, and correcting the positioning distance in the initial positioning data in combination with the data packet association information of the target path; determining fusion ranging information and fusion speed information based on the corrected positioning distance, the first positioning data, the signal receiving signal-to-noise ratio and the bit error rate; determining a first positioning direction based on a target axial acceleration in the IMU data, obtaining a second positioning direction by combining the initial positioning direction, and then determining a target positioning direction by fusing a historical positioning direction and confidence in a sliding window; and determining target positioning information based on the target positioning direction and the fused ranging information. And the accuracy of underground positioning is improved.

This invention discloses a control method, system, and medium for a DC offset compensation circuit of an optical transceiver driver chip, relating to the field of optoelectronic integrated circuit testing technology. The method includes the following steps: time-aligning the test waveform and bias trajectory of the optical transceiver driver chip; extracting the phase misalignment and amplitude jump between beats; and mapping the continuous changes to a timing conflict observation band for identifying beat overlap regions. Based on the phase misalignment trend of the timing conflict observation band, the beat overlap points of the DC offset compensation loop are determined, and an overlap beat index is generated based on the duration and polarity of the amplitude jump to identify interfering nodes. This invention achieves millisecond-level beat observation and microsecond-level overlap identification during the testing phase, accurately extracting interfering nodes and constructing a coupling strength map. Combined with beat rearrangement and energy unloading strategies, it suppresses nonlinear oscillations, reduces oscillation and overload risks, improves eye diagram quality and bit error rate stability, and enhances the accuracy and robustness of chip testing.

The application relates to the technical field of laser measuring instruments, in particular to a high-bandwidth CAT6-optical fiber composite communication cable system, which comprises a composite cable module, a test module and a control module; the composite cable module is used for forming a composite communication cable pair through a CAT6 network cable and an optical fiber cable to transmit communication signals; the test module is connected with the composite cable module and is used for testing the performance of the composite communication cable, and comprises a signal generator used for providing a test signal, a filter connected with the signal generator and used for filtering the test signal, and a temperature sensor arranged in a test area and used for detecting the temperature of the test area; the control module is connected with the composite cable module and the test module and is used for determining the bit error rate threshold of the optical fiber cable according to the average transmission delay duration of the test signal; and the application improves the test stability of the composite communication cable.

This invention discloses an echo channel estimation method based on adaptive filtering, belonging to the field of wireless communication. First, channel estimation of the mixed signal is performed using pilot signals. Then, a correlation algorithm is used to estimate the impulse response of the echo channel to obtain an estimated value of the echo channel. Next, the estimated echo channel value is used to calculate the echo signal and perform channel estimation of the near-end transmitted signal. This value is then subtracted from the first channel estimate to obtain a second estimate of the channel through which the near-end signal passes. Finally, a partial estimate of the near-end signal is calculated using the pilot signals and the second estimate, and this value is subtracted from the received signal to obtain an estimated value of the echo signal, which is then fed into an adaptive filter to update the filter coefficients. This invention fully utilizes pilot channel estimation in OFDM signals and combines it with adaptive filtering to achieve effective echo channel estimation in two-talk scenarios, reducing the bit error rate under echo interference.

The invention discloses a TFDM-PON system correction method and device, and the method comprises the steps: an OLT receives a dual-polarization signal transmitted by an ONU based on time division multiplexing or time-frequency division multiplexing, the dual-polarization signal comprises a target signal sequence corresponding to X / Y polarization, and the target signal sequence is an IQ period complex signal, and an I path and a Q path of the IQ period complex signal are single-tone signals of a first frequency and a second frequency respectively; target parameters including target transmitting and receiving end frequency deviation, IQ time delays of a target transmitting end and a target receiving end and target power deviation among ONUs are calculated based on Fourier transform and frequency domain symmetry of the dual-polarization signals, so that the ONUs carry out frequency, time delay and power correction according to the target parameters. Subcarrier crosstalk caused by frequency offset in TDM uplink burst transmission, mirror image crosstalk caused by IQ imbalance and performance degradation caused by power imbalance between subcarriers are eliminated, the bit error rate is reduced, and the system robustness is improved.

The application relates to the technical field of differential protection, in particular to a power distribution network distributed differential protection method and system suitable for a 1.4GIGS communication network, which comprises the following steps: based on the current and voltage parameters of each node of the power distribution network, real-time data is extracted and analyzed, the difference between the nodes is calculated, the nodes meeting the conditions are screened out by analyzing the difference values, signal receiving monitoring is carried out, and a list of key monitoring nodes is generated. In the application, the node signal transmission path is optimized through a power distribution algorithm, the time-frequency resource distribution of the signal is dynamically adjusted, the efficiency and stability of signal transmission are realized, the bit error rate in the signal transmission process is effectively reduced, the response speed and accuracy of the power distribution network differential protection system are improved, the interference information in the signal is processed through a particle swarm optimization algorithm, the frequency spectrum structure of the signal is optimized by rearranging and rotating the interference signal, the transmission parameters of the signal are adjusted, and the stability and anti-interference ability of signal receiving are greatly improved.

The application provides a low-density parity-check code decoding method and device based on a graph neural network, which comprises the following steps: step 1, constructing a factor graph comprising variable nodes, check nodes and edge relationships, and mapping log-likelihood ratio information of a received signal to initial embedding of the variable nodes; step 2, generating message features according to node embedding, node degree and iteration step length, and constructing attention weights for each edge to measure the importance of the message; step 3, inputting the message features and the attention weights into a gated recurrent unit to update the residual of the edge weight, and feeding back the updated edge weight to the graph structure; step 4, weighting and aggregating the messages from the adjacent nodes according to the edge weight, calculating the updated embedding of the variable nodes and the check nodes, and performing gated modulation combined with the check result; step 5, repeating steps 2 to 4 until a preset iteration number or a decoding convergence condition is reached, and mapping the final variable node embedding to a decoding result to realize LDPC code word recovery. By introducing the attention mechanism and the gated residual update into the message passing process, the application realizes adaptive modeling of the contribution degree of different edge messages, dynamically remembers the historical state, thereby improving the decoding performance and the convergence speed; meanwhile, the application can effectively reduce the bit error rate and is suitable for high-speed reliable data transmission scenarios in a 5G / 6G wireless communication system.

This invention provides an automated testing method and system for GNSS receiver hardware modules, relating to the field of electronic equipment testing technology. The method includes: parsing a preprocessed signal dataset and extracting signal feature boundaries based on a convex hull algorithm, calculating key performance indicators such as signal acquisition time, tracking accuracy, bit error rate, and receiver sensitivity; comparing these key performance indicators with preset performance thresholds, automatically determining whether the GNSS receiver hardware module is qualified based on the comparison results, and generating a performance judgment result; and automatically generating a structured test report based on the performance judgment result, and outputting the report to a designated terminal or storage location. This invention achieves an efficient and fully automated solution for testing various key performance indicators of GNSS receiver hardware modules by simulating GNSS signal excitation, response signal acquisition, signal processing algorithms, and automated performance judgment criteria.

The application relates to a merging vector optimization method in a mobile cell-free scenario, wherein the method comprises the following steps: generating and dividing a data sample set based on a pre-established full connection CF mMIMO network architecture; performing graph construction and initial graph embedding on random channel state information in a training set to obtain an initial graph embedding vector; performing forward propagation calculation on the initial graph embedding vector in combination with a pre-established graph neural network to obtain a current round merging vector; determining an initial graph neural network model when a training bit error rate meets a first bit error rate requirement; testing a test set to obtain a test bit error rate; determining a final graph neural network model when the test bit error rate meets a second bit error rate requirement; and deploying a final full connection CF mMIMO network architecture and performing network scheduling. Thus, the problems of high calculation complexity, low real-time performance and low reliability in the related art are solved, the calculation complexity is reduced, and the robustness, scalability and system fairness are improved.

The invention provides a three-dimensional stacked packaging substrate device and a manufacturing method, and relates to the technical field of semiconductor packaging, and the three-dimensional stacked packaging substrate device comprises a substrate which is a multi-layer stacked substrate; a drop point area corresponding to the vertical interconnection terminal is provided with a backflow channel, and the backflow channel comprises a grounding via hole array or a grounding metal ring surrounding the drop point area and is used for providing a continuous reference loop for a high-speed signal transmitted through the vertical interconnection terminal. Providing a core plate, carrying out multi-layer lamination, and manufacturing a backflow channel in a corresponding vertical interconnection terminal drop point area; manufacturing blind holes or micro holes in the substrate to realize interlayer interconnection; the substrate is divided into a high-speed digital area, an analog / radio frequency area and a power supply area according to functions for partition wiring, and the ground plane of each partition is kept continuous; a decoupling device is arranged at the near end of the vertical interconnection drop point or the chip power supply inlet. The system has the beneficial effects that low reflection, low jitter and low bit error rate of high-speed signal transmission are realized, and the electromagnetic compatibility and the working reliability of the system are improved.