A power line carrier communication anti-interference method and system

Abstract

This invention discloses a communication anti-interference method and system for power line carrier communication, relating to the field of data analysis technology. The method includes: performing mode decomposition on the communication signal of the power line carrier to obtain target mode components; determining the bispectral map of the communication signal; extracting feature signal points based on the bispectral map and the target mode components; analyzing the interference type information of each communication node in the power line carrier network based on the feature signal points; performing interference degree analysis based on the interference type information; performing communication impact analysis based on the interference type information and the target interference degree; determining an adaptive multi-carrier modulation strategy for the communication signal based on the communication impact information; performing collaborative optimization analysis of the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy; and performing communication anti-interference based on a multi-node collaborative anti-interference strategy. This invention can effectively suppress various types of noise interference and significantly improve the reliability and transmission efficiency of power line carrier communication.

Description

Technical Field

[0001] This invention relates to the field of power line carrier technology, and in particular to a communication anti-interference method and system for power line carrier. Background Technology

[0002] Power line carrier communication is a key technology for information acquisition and equipment monitoring in smart grids. However, power lines are not dedicated communication channels, and their transmission environment suffers from a combination of complex interferences, including noise and narrowband interference. Furthermore, line impedance fluctuates drastically with load switching, leading to severe signal attenuation and poor transmission reliability. Therefore, achieving reliable anti-interference communication has become a critical research area. Existing anti-interference methods typically employ fixed modulation or single-filter noise reduction strategies, but these methods only passively address interference at the single-node level and are difficult to dynamically adjust globally based on the channel's interference status. Moreover, in scenarios involving changing distribution network topology and multiple coexisting nodes, existing methods lack coordinated optimization of the entire network's communication behavior, easily leading to resource conflicts and interference aggregation, resulting in decreased power line carrier communication throughput and reliability. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides a communication anti-interference method and system for power line carrier, which can effectively suppress various types of noise interference in complex and time-varying power line channel environments, and significantly improve the reliability and transmission efficiency of power line carrier communication.

[0004] To address the aforementioned technical problems, this invention provides a communication anti-interference method for power line carrier communication, the method comprising: The communication signal of the power line carrier is acquired, and the communication signal is decomposed into modes to obtain the target mode components; Determine the bispectral map of the communication signal, and extract the feature signal points of the communication signal based on the bispectral map and the target modal components; Based on the aforementioned characteristic signal points, analyze the interference type information of each communication node in the power line carrier network; Based on the interference type information, interference degree analysis is performed using gain fluctuation to obtain the target interference degree of each communication node. Based on the interference type information and the target interference degree, the communication impact analysis of the power line carrier network is performed to obtain communication impact information, and an adaptive multi-carrier modulation strategy for the communication signal is determined based on the communication impact information. Based on the adaptive multi-carrier modulation strategy, the communication behavior of all communication nodes is analyzed collaboratively to obtain a multi-node collaborative anti-interference strategy, and the communication anti-interference of power line carrier is carried out based on the multi-node collaborative anti-interference strategy.

[0005] Optionally, the step of performing mode decomposition on the communication signal to obtain the target mode components includes: The communication signal is framed to obtain the framed communication signal; Noise-complete set empirical mode decomposition is performed on the communication signal after frame processing to obtain the initial mode components; The initial modal components are subjected to bandwidth-optimized variational mode decomposition to obtain the target modal components.

[0006] Optionally, determining the bispectral map of the communication signal and extracting feature signal points of the communication signal based on the bispectral map and the target mode components includes: The communication signal is segmented and preprocessed to obtain the segmented and preprocessed communication signal; The third-order cumulant is determined based on the segmented preprocessed communication signal, and a discrete Fourier transform is performed based on the third-order cumulant to obtain a local bispectral estimation map. The local bispectral estimation map is smoothed to obtain a smoothed local bispectral estimation map, and the bispectral map of the communication signal is determined based on the smoothed local bispectral estimation map. Transient event analysis is performed based on the target modal components to obtain transient event information; Based on the transient event information, a local bispectral slice is determined using the bispectral image, and feature signal points of the communication signal are extracted based on the local bispectral slice.

[0007] Optionally, the step of analyzing the interference type information of each communication node in the power line carrier network based on the characteristic signal points includes: Based on the characteristic signal points, the signal point affiliation of the communication nodes is assigned to obtain the signal point affiliation information; Based on the signal point attribution information, interference feature vector analysis is performed to obtain interference feature vector information; Based on the interference feature vector information, the interference type of each communication node is logically determined to obtain the interference type information of each communication node.

[0008] Optionally, the step of performing interference feature vector analysis based on the signal point attribution information to obtain interference feature vector information includes: Based on the signal point attribution information, frequency distribution feature analysis is performed to obtain frequency distribution feature information; Based on the signal point attribution information, the time interval sequence of the feature signal points is determined, and time evolution feature information is extracted based on the time interval sequence; Modal correlation feature analysis is performed based on the signal point attribution information to obtain modal correlation feature information, and interference feature vector information is determined based on the frequency distribution feature information, time evolution feature information, and modal correlation feature information.

[0009] Optionally, the step of performing interference degree analysis based on the interference type information using gain fluctuations to obtain the target interference degree of each communication node includes: Based on the information about the type of interference, a baseline weight coefficient is determined using a preset mapping lookup table; Analyze the cyclic redundancy check error frame rate and gain fluctuation of each communication node, and determine the bispectral entropy value based on the bispectral diagram; The high-frequency mode energy attenuation rate is determined based on the target mode components, and the channel statistical parameters are determined based on the bispectral entropy value, the high-frequency mode energy attenuation rate, the cyclic redundancy check error frame rate, and the gain fluctuation. The target interference level of each communication node is determined based on the channel statistical parameters and the benchmark weighting coefficient.

[0010] Optionally, determining the target interference level of each communication node based on the channel statistical parameters and the benchmark weighting coefficient includes: The normalized deviation is determined based on the channel statistical parameters using a preset calibration reference value; The initial interference level of each communication node is determined based on the normalized deviation and the baseline weight coefficient. Path compensation information is obtained based on the network topology information database, and the instantaneous interference degree is determined based on the path compensation information and the initial interference degree. The instantaneous disturbance level is subjected to time-smoothing filtering to obtain the target disturbance level.

[0011] Optionally, the step of performing communication impact analysis on the power line carrier network based on the interference type information and the target interference degree to obtain communication impact information, and determining an adaptive multi-carrier modulation strategy for the communication signal based on the communication impact information, includes: Based on the interference type information, pulse duration analysis is performed to obtain pulse duration information; Based on the pulse duration information and the target interference level, an inter-carrier interference risk analysis is performed to obtain the inter-carrier interference risk analysis results. Based on the target interference level, a robustness margin assessment is performed to obtain the robustness margin assessment result, and communication impact information is determined based on the inter-carrier interference risk analysis result and the robustness margin assessment result. Based on the communication impact information, an adaptive multicarrier modulation strategy for the communication signal is determined using a preset modulation scheme table.

[0012] Optionally, the step of performing collaborative optimization analysis on the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy to obtain a multi-node collaborative anti-interference strategy includes: The node status table is determined based on the aforementioned adaptive multicarrier modulation strategy; Theoretical transmission duration analysis is performed based on the node status table to obtain theoretical transmission duration information; Based on the node status table and theoretical transmission duration information, the communication behavior of all communication nodes is analyzed collaboratively to obtain a multi-node collaborative anti-interference strategy.

[0013] In addition, the present invention also provides a communication anti-interference system for power line carrier, the system comprising: Signal mode decomposition module: used to acquire the communication signal of the power line carrier and perform mode decomposition on the communication signal to obtain the target mode component; Signal point extraction module: used to determine the bispectral map of the communication signal, and extract the feature signal points of the communication signal based on the bispectral map and the target modal components; Type analysis module: used to analyze the interference type information of each communication node in the power line carrier network based on the characteristic signal points; Interference Severity Analysis Module: Used to perform interference severity analysis based on the interference type information and gain fluctuations to obtain the target interference severity of each communication node; Strategy determination module: used to perform communication impact analysis of power line carrier network based on the interference type information and target interference degree, obtain communication impact information, and determine the adaptive multi-carrier modulation strategy of communication signal based on the communication impact information; Communication anti-interference module: used to perform collaborative optimization analysis on the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy, obtain a multi-node collaborative anti-interference strategy, and perform communication anti-interference on power line carrier based on the multi-node collaborative anti-interference strategy.

[0014] In this embodiment of the invention, the communication signal of the power line carrier is acquired, and the communication signal is decomposed to obtain the target mode component. The bispectral map of the communication signal is determined, and feature signal points of the communication signal are extracted based on the bispectral map and the target mode component, providing a high-quality feature data foundation for subsequent accurate determination of the interference type. The interference type information of each communication node in the power line carrier network is analyzed based on the feature signal points, and the interference degree is analyzed using gain fluctuation based on the interference type information. The communication impact analysis of the power line carrier network is performed based on the interference type information and the target interference degree. Based on the communication impact information, an adaptive multi-carrier modulation strategy for the communication signal is determined, which can effectively improve the reliability of the communication impact analysis. This allows the analyzed adaptive multi-carrier modulation strategy to maximize spectral efficiency while ensuring communication reliability, and to make global adjustments according to the interference state, achieving the best balance between transmission rate and anti-interference performance. Based on the adaptive multi-carrier modulation strategy, the communication behavior of all communication nodes is collaboratively optimized and analyzed to obtain a multi-node collaborative anti-interference strategy. Based on the multi-node collaborative anti-interference strategy, power line carrier communication anti-interference is carried out to avoid resource conflicts and interference superposition during the communication anti-interference process. It can effectively suppress various types of noise interference in complex and time-varying power line channel environments, and significantly improve the reliability and transmission efficiency of power line carrier communication. Attached Figure Description

[0015] 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 described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating the communication anti-interference method for power line carrier in an embodiment of the present invention. Figure 2 This is a flowchart illustrating a communication anti-interference method for power line carrier communication according to another embodiment of the present invention. Figure 3 This is a schematic diagram of the structural composition of the power line carrier communication anti-interference system in an embodiment of the present invention. Detailed Implementation

[0017] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating a power line carrier communication anti-interference method according to an embodiment of the present invention. The method includes: S11: Acquire the communication signal of the power line carrier and perform mode decomposition on the communication signal to obtain the target mode component; In the specific implementation of this invention, a communication signal of a power line carrier is acquired, and the communication signal is processed into frames to obtain a framed communication signal; the framed communication signal is subjected to noise-complete set empirical mode decomposition to obtain initial mode components; the initial mode components are subjected to bandwidth-optimized variational mode decomposition to obtain target mode components, which provides a refined signal foundation for the subsequent construction of bispectral maps and extraction of feature signal points.

[0019] S12: Determine the bispectral map of the communication signal, and extract the feature signal points of the communication signal based on the bispectral map and the target modal components; In the specific implementation of this invention, the communication signal is segmented and preprocessed to obtain a segmented preprocessed communication signal; a third-order cumulant is determined based on the segmented preprocessed communication signal, and a discrete Fourier transform is performed based on the third-order cumulant to obtain a local bispectral estimation map; the local bispectral estimation map is smoothed to obtain a smoothed local bispectral estimation map, and the bispectral map of the communication signal is determined based on the smoothed local bispectral estimation map; transient event analysis is performed based on the target modal components to obtain transient event information; a local bispectral slice is determined based on the transient event information using the bispectral map, and feature signal points of the communication signal are extracted based on the local bispectral slice, which can effectively extract subtle features of the signal in a strong noise environment. It can more accurately identify and locate feature points in the signal, providing a high-quality feature data foundation for subsequent accurate determination of the interference type.

[0020] S13: Analyze the interference type information of each communication node in the power line carrier network based on the aforementioned characteristic signal points; In the specific implementation of this invention, signal point attribution of communication nodes is assigned based on the characteristic signal points to obtain signal point attribution information; interference feature vector analysis is performed based on the signal point attribution information to obtain interference feature vector information; and interference type logic discrimination of each communication node is performed based on the interference feature vector information to obtain interference type information of each communication node. This achieves accurate identification of the interference type of each communication node and provides a data foundation for subsequent quantitative analysis of interference degree.

[0021] S14: Based on the interference type information, use gain fluctuation to perform interference degree analysis to obtain the target interference degree of each communication node; In the specific implementation of this invention, a baseline weighting coefficient is determined based on the interference type information using a preset mapping lookup table; the cyclic redundancy check error frame rate and gain fluctuation of each communication node are analyzed, and the bispectral entropy value is determined based on the bispectral graph; the high-frequency mode energy attenuation rate is determined based on the target mode component, and channel statistical parameters are determined based on the bispectral entropy value, high-frequency mode energy attenuation rate, cyclic redundancy check error frame rate, and gain fluctuation; the target interference level of each communication node is determined based on the channel statistical parameters and the baseline weighting coefficient, providing data support for the selection of subsequent adaptive multi-carrier modulation strategies and multi-node collaborative optimization, and enabling fine-tuning according to the actual interference level of each node.

[0022] S15: Based on the interference type information and the target interference degree, perform communication impact analysis on the power line carrier network to obtain communication impact information, and determine the adaptive multi-carrier modulation strategy for the communication signal based on the communication impact information; In the specific implementation of this invention, pulse duration analysis is performed based on the interference type information to obtain pulse duration information; inter-carrier interference risk analysis is performed based on the pulse duration information and the target interference level to obtain inter-carrier interference risk analysis results; robustness margin assessment is performed based on the target interference level to obtain robustness margin assessment results, and communication impact information is determined based on the inter-carrier interference risk analysis results and robustness margin assessment results; based on the communication impact information, an adaptive multi-carrier modulation strategy for the communication signal is determined using a preset modulation scheme table, which can maximize spectral efficiency while ensuring communication reliability, and achieve the best balance between transmission rate and anti-interference performance. Compared with fixed modulation strategies, adaptive multi-carrier modulation has significant performance advantages.

[0023] S16: Based on the adaptive multi-carrier modulation strategy, perform collaborative optimization analysis on the communication behavior of all communication nodes to obtain a multi-node collaborative anti-interference strategy, and perform power line carrier communication anti-interference based on the multi-node collaborative anti-interference strategy.

[0024] In the specific implementation of this invention, a node state table is determined based on the adaptive multi-carrier modulation strategy; theoretical transmission duration analysis is performed based on the node state table to obtain theoretical transmission duration information; collaborative optimization analysis is performed on the communication behavior of all communication nodes based on the node state table and the theoretical transmission duration information to obtain a multi-node collaborative anti-interference strategy; and communication anti-interference is performed on power line carrier based on the multi-node collaborative anti-interference strategy, avoiding resource conflicts and interference superposition problems that may be caused by independent decision-making by each node, and significantly improving the overall anti-interference capability and communication reliability of the entire power line carrier communication network.

[0025] In this embodiment of the invention, the communication signal of the power line carrier is acquired, and the communication signal is decomposed to obtain the target mode component. The bispectral map of the communication signal is determined, and feature signal points of the communication signal are extracted based on the bispectral map and the target mode component, providing a high-quality feature data foundation for subsequent accurate determination of the interference type. The interference type information of each communication node in the power line carrier network is analyzed based on the feature signal points, and the interference degree is analyzed using gain fluctuation based on the interference type information. The communication impact analysis of the power line carrier network is performed based on the interference type information and the target interference degree. Based on the communication impact information, an adaptive multi-carrier modulation strategy for the communication signal is determined, which can effectively improve the reliability of the communication impact analysis. This allows the analyzed adaptive multi-carrier modulation strategy to maximize spectral efficiency while ensuring communication reliability, and to make global adjustments according to the interference state, achieving the best balance between transmission rate and anti-interference performance. Based on the adaptive multi-carrier modulation strategy, the communication behavior of all communication nodes is collaboratively optimized and analyzed to obtain a multi-node collaborative anti-interference strategy. Based on the multi-node collaborative anti-interference strategy, power line carrier communication anti-interference is carried out to avoid resource conflicts and interference superposition during the communication anti-interference process. It can effectively suppress various types of noise interference in complex and time-varying power line channel environments, and significantly improve the reliability and transmission efficiency of power line carrier communication.

[0026] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating a communication anti-interference method for power line carrier communication according to another embodiment of the present invention, the method comprising: S201: Acquire the communication signal of the power line carrier and perform mode decomposition on the communication signal to obtain the target mode component; In a specific implementation of the present invention, the step of performing mode decomposition on the communication signal to obtain the target mode component includes: performing frame-segmentation on the communication signal to obtain a frame-segmented communication signal; performing noise-complete set empirical mode decomposition on the frame-segmented communication signal to obtain an initial mode component; and performing bandwidth-optimized variational mode decomposition on the initial mode component to obtain the target mode component.

[0027] Specifically, the communication signal of the power line carrier is acquired. The carrier frequency band signal of the power line communication network is extracted through isolation by a high-impedance coupler and an anti-aliasing filter. This signal is then passed through an automatic gain control amplifier and input to an analog-to-digital converter (ADC). The ADC continuously acquires the signal at a fixed sampling rate, generating a discrete digital sequence. The precise moment when the voltage crosses zero from negative to positive is detected, generating a power frequency zero-crossing timestamp. This timestamp is then inserted as a marker into the corresponding sampling point position of the discrete digital sequence, forming a communication signal sampling stream, which is the communication signal of the power line carrier.

[0028] The communication signal is subjected to frame segmentation processing to obtain the frame-segmented communication signal. Frame segmentation processing is the process of dividing the communication signal into continuous and overlapping analysis frame segments according to a fixed time length.

[0029] The framed communication signal is subjected to noise-complete ensemble empirical mode decomposition to obtain initial mode components. A white noise sequence with limited amplitude is generated based on the framed communication signal. The white noise sequence is superimposed on the framed communication signal to generate a noisy synthetic signal. By repeatedly finding and sieving the upper and lower envelope mean values ​​of the noisy synthetic signal, single-order decomposed mode function components arranged from high frequency to low frequency are obtained. After repeating the noise addition and decomposition operation multiple times, the single-order decomposed mode function components at the same index position in all rounds are ensemble averaged. Based on the statistical averaging effect of the mode function components with the same index in multiple rounds, the residual error and mode mixing caused by adding white noise are offset to obtain the final initial intrinsic mode function components, which are the initial mode components.

[0030] The initial modal components are subjected to bandwidth-optimized variational mode decomposition to obtain the target modal components. Using the initial modal components as input, a variational model with the goal of minimizing the sum of submodal bandwidths is constructed and iteratively solved using the alternating direction multiplier method. Each initial component is subdivided into a set of fine modal components with accurate center frequencies and concentrated energy, which are the target modal components.

[0031] S202: Determine the bispectral map of the communication signal, and extract the feature signal points of the communication signal based on the bispectral map and the target modal components; In a specific implementation of this invention, determining the bispectral map of the communication signal and extracting feature signal points of the communication signal based on the bispectral map and the target mode component includes: performing segmented preprocessing on the communication signal to obtain a segmented preprocessed communication signal; determining a third-order cumulant based on the segmented preprocessed communication signal and performing a discrete Fourier transform based on the third-order cumulant to obtain a local bispectral estimation map; smoothing the local bispectral estimation map to obtain a smoothed local bispectral estimation map and determining the bispectral map of the communication signal based on the smoothed local bispectral estimation map; performing transient event analysis based on the target mode component to obtain transient event information; determining a local bispectral slice based on the transient event information using the bispectral map, and extracting feature signal points of the communication signal based on the local bispectral slice.

[0032] Specifically, the communication signal is segmented and preprocessed to obtain a segmented preprocessed communication signal. That is, the communication signal is divided into multiple short-time analysis window segments with a fixed overlap rate. The mean value of the data in each short-time analysis window segment is subtracted to eliminate the DC component.

[0033] The third-order cumulant is determined based on the segmented preprocessed communication signal, and a discrete Fourier transform is performed based on the third-order cumulant to obtain a local bispectral estimation map. For each short-time analysis window segment after mean removal, its third-order cumulant function is calculated. This function depends on two independent time delay variables to describe the third-order statistical correlation characteristics of the signal under different delay combinations. Based on the calculated third-order cumulant function, a two-dimensional discrete Fourier transform is performed to obtain the local bispectral estimation map corresponding to the window segment.

[0034] The local bispectral estimation map is smoothed to obtain a smoothed local bispectral estimation map. Based on the smoothed local bispectral estimation map, the bispectral map of the communication signal is determined. On the two-dimensional frequency plane, based on the amplitude distribution characteristics of the local bispectral estimation map, an adaptive smoothing kernel is applied to suppress statistical variance. The local bispectral estimation map is smoothed using this smoothing kernel. The smoothed local bispectral estimation maps of all window segments are ensembled and averaged to obtain a two-dimensional amplitude distribution map that reflects the overall nonlinear phase coupling characteristics of the entire analysis period, which is the bispectral map of the communication signal.

[0035] Transient event analysis is performed based on the target modal components to obtain transient event information. Short-time zero-crossing rate detection and Hilbert envelope analysis are performed on the time-domain waveform of the target modal components. Zero-crossing rate detection identifies phase change events by statistically analyzing the rate of change of the number of zero crossings through a sliding window. Envelope analysis locates energy impact events by extracting the rising edge slope and peak amplitude of the envelope curve. The two types of events are merged and deduplicated on the time axis according to the proximity criterion to form a transient event record list containing the event occurrence timestamp, associated modal component number, and event type label, which is the transient event information.

[0036] Based on the transient event information, a local bispectral slice is determined using the bispectral image. Feature signal points of the communication signal are extracted based on the local bispectral slice. Using the timestamp of each event in the transient event information as an alignment reference, a short segment of fixed duration is extracted from the communication signal and its local bispectral slice is calculated. Subsequently, a constrained peak search is performed on the two-dimensional frequency plane of the slice. The constraints include that the point is the maximum amplitude in the neighborhood and is higher than the adaptive threshold, the sum of the frequency pairs at the point matches the center frequency of a certain fine mode component, and the difference of the frequency pairs at the point does not fall within the power frequency harmonic range. The frequency coordinate points that pass all constraints are encapsulated as feature signal points. Each feature signal point carries four-dimensional attributes: two-dimensional frequency coordinates, bispectral amplitude, matched mode component number, and event timestamp.

[0037] S203: Analyze the interference type information of each communication node in the power line carrier network based on the aforementioned characteristic signal points; In the specific implementation of this invention, the step of analyzing the interference type information of each communication node in the power line carrier network based on the characteristic signal points includes: assigning signal point affiliation to the communication nodes based on the characteristic signal points to obtain signal point affiliation information; performing interference feature vector analysis based on the signal point affiliation information to obtain interference feature vector information; and performing interference type logical discrimination of each communication node based on the interference feature vector information to obtain interference type information of each communication node.

[0038] Specifically, based on the characteristic signal points, signal point attribution is assigned to communication nodes to obtain signal point attribution information. The communication node identifiers corresponding to each time period within the current communication cycle are determined. For each characteristic signal point, the communication node identifier corresponding to the time slot or frame where the event timestamp occurs is found based on the event timestamp it carries. The characteristic signal point is then bound to the found communication node identifier, and the bound characteristic signal point is pushed into the first-in-first-out (FIFO) buffer queue to which the corresponding communication node identifier belongs. This completes the signal point attribution assignment and obtains the signal point attribution information.

[0039] Interference feature vector analysis is performed based on the signal point attribution information to obtain interference feature vector information. Frequency distribution feature information, time evolution feature information, and mode association feature information can be analyzed through the signal point attribution information to determine the interference feature vector information.

[0040] Based on the interference feature vector information, the interference type of each communication node is logically determined to obtain the interference type information of each communication node. The interference type logical determination includes three levels of classification. The first level of classification is to determine whether the interference is broadband diffuse or narrowband clustered in the frequency domain based on the interference feature vector information of the sub-step, and to record the position of the main peak frequency band. The second level of classification is to determine whether the time evolution characteristics of the interference are continuous stationary, periodic pulse, or random burst based on the first level of classification results and the interval variation coefficient and autocorrelation function peak delay in the interference feature vector information. The third level of classification is to determine whether the physical cause of the interference is related to transient impact or coupled with the overall signal transmission process based on the modal correlation concentration in the interference feature vector information of the first two levels of classification results. According to the leaf node reached by the feature vector information through the above three levels of classification in the preset hierarchical decision logic tree, the corresponding descriptive label combination is output, which is the interference type information.

[0041] Furthermore, the step of performing interference feature vector analysis based on the signal point attribution information to obtain interference feature vector information includes: performing frequency distribution feature analysis based on the signal point attribution information to obtain frequency distribution feature information; determining the time interval sequence of feature signal points based on the signal point attribution information, and extracting time evolution feature information based on the time interval sequence; performing modal correlation feature analysis based on the signal point attribution information to obtain modal correlation feature information, and determining interference feature vector information based on the frequency distribution feature information, time evolution feature information, and modal correlation feature information.

[0042] Specifically, frequency distribution feature analysis is performed based on the signal point attribution information to obtain frequency distribution feature information. Two-dimensional frequency coordinates of all feature signal points in the queue are extracted according to the signal point attribution information. For each point, half of the sum of the two coordinates is calculated as the equivalent center frequency. The power line carrier operating frequency band is evenly divided into intervals, and the number of points whose equivalent center frequencies fall into each interval is counted to generate a frequency distribution histogram. The normalized information entropy is calculated based on the frequency distribution histogram as the frequency distribution entropy, and the center frequency of the interval with the highest count is recorded as the main peak clustering frequency band. The two-dimensional frequency coordinates, equivalent center frequency, frequency distribution histogram, frequency distribution entropy, and main peak clustering frequency band are used as frequency distribution feature information.

[0043] Based on the signal point attribution information, the time interval sequence of feature signal points is determined, and time evolution feature information is extracted based on the time interval sequence. Event occurrence timestamps of all feature signal points are extracted based on the signal point attribution information and sorted by time. The time interval sequence between adjacent event occurrence timestamps is calculated, and the mean and standard deviation are calculated based on the time interval sequence to obtain the interval variation coefficient. The first-order autocorrelation coefficient of the time interval sequence is calculated, and the peak delay of the autocorrelation function at the same delay point of the power frequency cycle is detected. The event occurrence timestamps, time interval sequences, interval variation coefficients, and peak delay of the autocorrelation function are used as time evolution feature information.

[0044] Modal association feature analysis is performed based on the signal point attribution information to obtain modal association feature information. The frequency of occurrence of associated modal component numbers carried by feature signal points in the statistical queue is calculated using the signal point attribution information. A concentration index, such as the Gini coefficient or the proportion of the highest frequency mode, is calculated based on this frequency distribution as the modal association concentration. The frequency of occurrence of associated modal component numbers and the modal association concentration are used as modal association feature information. Interference feature vector information is determined based on the frequency distribution feature information, time evolution feature information, and modal association feature information; that is, the interference feature vector is composed of the frequency distribution feature information, time evolution feature information, and modal association feature information.

[0045] S204: Determine the baseline weight coefficient based on the interference type information using a preset mapping lookup table; In the specific implementation of this invention, a baseline weight coefficient is determined based on the interference type information using a preset mapping lookup table. A precise or fuzzy matching search is performed in the preset interference type-weight coefficient mapping lookup table, and a set of pre-calibrated weight coefficient values ​​are read from the matched entries in the lookup table, which are the baseline weight coefficients.

[0046] S205: Analyze the cyclic redundancy check error frame rate and gain fluctuation of each communication node, and determine the bispectral entropy value based on the bispectral diagram; In the specific implementation of this invention, the cyclic redundancy check (CRC) error frame rate and gain fluctuation of each communication node are analyzed. Based on the bispectral graph, the bispectral entropy value is determined. Based on the CRC counter of the communication protocol stack's medium access control layer, the number of error frames and the total number of frames within the statistical period are read. Combined with timeout equivalent conversion, the CRC error frame rate is calculated. Based on the gain control word register of the RF front-end automatic gain control circuit, a sequence is formed by sampling at fixed intervals, and the peak-to-peak value of the sequence is calculated as the automatic gain control gain fluctuation range. According to the two-dimensional amplitude distribution matrix of the global bispectral graph, its normalized information entropy is calculated as the bispectral entropy value. S206: Determine the high-frequency mode energy attenuation rate based on the target mode component, and determine the channel statistical parameters based on the bispectral entropy value, high-frequency mode energy attenuation rate, cyclic redundancy check error frame rate, and gain fluctuation; In the specific implementation of this invention, the high-frequency mode energy attenuation rate is determined based on the target mode component. According to the target mode component, the effective communication mode component with the highest center frequency is selected. The ratio of the integral energy of its Hilbert marginal spectrum in the main communication frequency band to the total energy of the original signal is calculated, and the decreasing slope of this ratio over multiple consecutive cycles is observed as the high-frequency mode energy attenuation rate. Channel statistical parameters are determined based on the bispectral entropy value, the high-frequency mode energy attenuation rate, the cyclic redundancy check (CRC) error frame rate, and the gain fluctuation. That is, the channel statistical parameters consist of the bispectral entropy value, the high-frequency mode energy attenuation rate, the CRC error frame rate, and the gain fluctuation.

[0047] S207: Determine the target interference level of each communication node based on the channel statistical parameters and the benchmark weighting coefficient; In a specific implementation of this invention, determining the target interference level of each communication node based on the channel statistical parameters and the benchmark weight coefficient includes: determining the normalized deviation based on the channel statistical parameters using a preset calibration reference value; determining the initial interference level of each communication node based on the normalized deviation and the benchmark weight coefficient; obtaining path compensation information based on the network topology information database, and determining the instantaneous interference level based on the path compensation information and the initial interference level; and performing time smoothing filtering on the instantaneous interference level to obtain the target interference level.

[0048] Specifically, the normalized deviation is determined based on the channel statistical parameters using a preset calibration reference value. Each value in the channel statistical parameters is compared with its preset calibration reference value under an ideal interference-free channel. The absolute difference is calculated and divided by the reference value to obtain the normalized deviation of each parameter.

[0049] The initial interference level of each communication node is determined based on the normalized deviation and the benchmark weight coefficient. The normalized deviation of each parameter is multiplied by the corresponding weight coefficient in the benchmark influence weight coefficient, and the sum is used to obtain the preliminary interference score, which is the initial interference level.

[0050] Path compensation information is obtained from a network topology database. Instantaneous interference level is determined based on this path compensation information and the initial interference level. A path compensation factor is calculated based on the node hop count and line attenuation estimate from the network topology database. The initial interference score is multiplied by the path compensation factor to obtain the instantaneous interference level.

[0051] The instantaneous disturbance level is subjected to time-smoothing filtering to obtain the target disturbance level. An exponentially weighted moving average filter is then applied to the instantaneous disturbance level. The smoothing time constant of the filter is adaptively adjusted based on the time evolution characteristics in the disturbance type information. The filtered output is the final target disturbance level.

[0052] For example, in a power line carrier communication network, node A is located on an adjacent floor in the same phase as the concentrator, approximately 15 meters away, with few line branches and a historically high communication success rate. First, four measured channel statistical parameters for this node were collected: cyclic redundancy check (CRC) error frame rate of 0.3%, automatic gain control (AGC) gain fluctuation range of 0.8 dB, bispectral entropy of 2.1, and high-frequency mode energy attenuation rate of 0.5% per analysis cycle. These measured values ​​were then divided by preset calibration reference values—error frame rate reference value of 0.1%, gain fluctuation reference value of 0.5 dB, bispectral entropy reference value of 1.8, and high-frequency attenuation rate reference value of 0.2% per cycle—resulting in normalized deviations of 2.0, 0.6, 0.17, and 1.5 for the four parameters, respectively. Subsequently, since the interference type affecting this node was determined to be broadband stationary noise, the baseline weight coefficient vector matched from the lookup table was: error frame rate weight 0.4, gain fluctuation weight 0.1, bispectral entropy weight 0.2, and high-frequency attenuation rate weight 0.3. After multiplying each deviation by its corresponding weight and summing them, the initial interference level is obtained as 1.09. Next, a query from the network topology database reveals that the node is only one hop from the concentrator, and the line attenuation compensation factor is set to 1.0. Therefore, the instantaneous interference level is the same as the initial interference level, both being 1.09. Finally, since the interference type of this node is stationary noise, a longer smoothing constant is used for time smoothing filtering. The instantaneous interference levels over five consecutive periods are then subjected to an exponentially weighted moving average, resulting in a final target interference level of 1.12.

[0053] S208: Based on the interference type information and the target interference degree, perform communication impact analysis on the power line carrier network to obtain communication impact information, and determine the adaptive multi-carrier modulation strategy for the communication signal based on the communication impact information; In a specific implementation of this invention, the step of performing communication impact analysis on the power line carrier network based on the interference type information and the target interference level to obtain communication impact information, and determining an adaptive multi-carrier modulation strategy for the communication signal based on the communication impact information, includes: performing pulse duration analysis based on the interference type information to obtain pulse duration information; performing inter-carrier interference risk analysis based on the pulse duration information and the target interference level to obtain inter-carrier interference risk analysis results; performing robustness margin assessment based on the target interference level to obtain robustness margin assessment results, and determining communication impact information based on the inter-carrier interference risk analysis results and robustness margin assessment results; and determining an adaptive multi-carrier modulation strategy for the communication signal using a preset modulation scheme table based on the communication impact information.

[0054] Specifically, pulse duration analysis is performed based on the interference type information to obtain pulse duration information. If the interference type information contains a pulse-related tag, the transient event record list is traced back. All records belonging to this node and of type energy impact event are extracted. Based on the Hilbert envelope waveform of the corresponding modal component when each event is triggered in the transient event record list, the half-width at half-maximum of the envelope peak is measured, and the average pulse duration of this node is statistically obtained.

[0055] Based on the pulse duration information and the target interference level, an inter-carrier interference risk analysis is performed to obtain the inter-carrier interference risk analysis results. On the one hand, the average pulse duration is compared with the cyclic prefix length of the orthogonal frequency division multiplexing symbol. If the pulse width is close to or exceeds the guard interval, it is determined that the risk of pulse energy leakage to subsequent symbols is increased, exacerbating the destruction of inter-carrier orthogonality. On the other hand, the target interference level is compared with a preset severe interference threshold. If the interference level exceeds the threshold and a large number of subcarriers are disabled due to strong frequency selective fading, it is further determined that the remaining available subcarriers have enhanced spectral leakage due to severe unevenness in the power spectrum. Combining the challenge of the pulse duration to the time-domain guard interval and the impact of the target interference level on the frequency-domain power distribution, a graded inter-carrier interference risk assessment result is output.

[0056] Based on the target interference level, a robustness margin assessment is performed to obtain the robustness margin assessment result. Using a first-order linear extrapolation or trend filtering algorithm, the predicted target interference level for the next cycle is estimated. The equivalent signal-to-noise ratio (SNR) obtained by empirically mapping the predicted target interference level is compared with the lowest demodulation SNR threshold of the modulation and coding scheme used by the current node. Based on the relationship between the difference and the preset safety margin, a conclusion is output indicating insufficient robustness margin, capacity can be increased, or it can remain unchanged. This conclusion is the robustness margin assessment result. Based on the inter-carrier interference risk analysis result and the robustness margin assessment result, communication impact information is determined. That is, the two results are combined to form an analysis report, obtaining the communication impact information.

[0057] Based on the communication impact information, an adaptive multicarrier modulation strategy for the communication signal is determined using a preset modulation scheme table. Based on the risk level and suggested increment in the inter-carrier interference risk analysis results in the communication impact information, and under the premise of ensuring that the frame efficiency is not lower than the lower limit, it is decided whether to update the physical layer cyclic prefix length configuration value, thus forming a cyclic prefix configuration decision. Based on the robustness margin evaluation results in communication impact learning, a search is performed in the predefined modulation and coding scheme table in the direction of lower or higher order to determine the applicable modulation and coding scheme index for the node, thus forming a modulation and coding scheme selection decision. Based on the target interference degree, the data of high interference nodes are preferentially mapped to the subcarrier position with the largest historical margin in the enabled bitmap, thus forming a subcarrier allocation decision. By combining the subcarrier allocation decision, the modulation and coding scheme selection decision, and the cyclic prefix configuration decision, an adaptive multicarrier modulation strategy is obtained.

[0058] S209: Based on the adaptive multi-carrier modulation strategy, perform collaborative optimization analysis on the communication behavior of all communication nodes to obtain a multi-node collaborative anti-interference strategy, and perform power line carrier communication anti-interference based on the multi-node collaborative anti-interference strategy.

[0059] In the specific implementation of this invention, the step of performing collaborative optimization analysis on the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy to obtain a multi-node collaborative anti-interference strategy includes: determining a node state table based on the adaptive multi-carrier modulation strategy; performing theoretical transmission duration analysis based on the node state table to obtain theoretical transmission duration information; and performing collaborative optimization analysis on the communication behavior of all communication nodes based on the node state table and the theoretical transmission duration information to obtain a multi-node collaborative anti-interference strategy.

[0060] Specifically, a node status table is determined based on the adaptive multi-carrier modulation strategy. Based on the online node list maintained by the network topology management module, a status record entry is created for each node. The following are written into the status record entry: the modulation and coding scheme index and subcarrier enable bitmap extracted from the adaptive multi-carrier modulation strategy instruction set; the target interference degree value; the node hop count and position obtained from the network topology library; and the length of the data queue to be sent obtained from the queue manager, thus forming the node status table.

[0061] Theoretical transmission duration analysis is performed based on the node status table to obtain theoretical transmission duration information. The physical layer peak transmission rate is calculated based on the node status table. The length of the queue to be sent in the node status table is divided by the physical layer peak transmission rate, and a fixed protocol overhead duration is added to obtain the theoretical shortest time slot length of the exclusive channel of the node, which is the theoretical transmission duration information.

[0062] Based on the node status table and theoretical transmission duration information, the communication behavior of all communication nodes is analyzed collaboratively to obtain a multi-node collaborative anti-interference strategy. Based on the node status table and theoretical transmission duration information of each communication node, the collaborative optimization analysis is completed through multiple rounds of iterative scheduling: in each round, exclusive time slots are granted to the node with the highest interference level. Then, the frequency overlap between the other nodes and the priority node on the subcarrier enable bitmap is checked. If the available subcarrier set is sufficiently spaced in the frequency domain and the interference risk between subcarriers is controllable, it is incorporated into the concurrent transmission group and divided into non-overlapping subcarrier subsets. At the same time, the expected transmission time of high-interference remote nodes via single-hop relay of nearby low-interference nodes is evaluated. When the total delay of the relay path is better than direct transmission, a relay coordination instruction is generated. Finally, the strategy is summarized to form a multi-node collaborative anti-interference strategy that includes time slot arrangement, concurrent subcarrier division, and relay path.

[0063] Based on the aforementioned multi-node collaborative anti-interference strategy, communication anti-interference for power line carrier is performed. The multi-node collaborative anti-interference strategy is encoded according to the payload format of the medium access control layer beacon frame to generate a beacon frame payload. The beacon frame payload is broadcast through the power line carrier channel. Each node receives and parses the beacon frame payload extracted from the beacon frame to obtain its own time slot, subcarrier, power, and relay role information in the current scheduling cycle. The medium access control layer state machine inside the node sets a local timer based on the time slot information in the beacon frame payload. Data is sent according to specified parameters in the allocated time slot, and the radio frequency front-end is set to a high-impedance state or a receive state in the non-allocated time slot to suppress interference.

[0064] In this embodiment of the invention, the communication signal of the power line carrier is acquired, and the communication signal is decomposed to obtain the target mode component. The bispectral map of the communication signal is determined, and feature signal points of the communication signal are extracted based on the bispectral map and the target mode component, providing a high-quality feature data foundation for subsequent accurate determination of the interference type. The interference type information of each communication node in the power line carrier network is analyzed based on the feature signal points, and the interference degree is analyzed using gain fluctuation based on the interference type information. The communication impact analysis of the power line carrier network is performed based on the interference type information and the target interference degree. Based on the communication impact information, an adaptive multi-carrier modulation strategy for the communication signal is determined, which can effectively improve the reliability of the communication impact analysis. This allows the analyzed adaptive multi-carrier modulation strategy to maximize spectral efficiency while ensuring communication reliability, and to make global adjustments according to the interference state, achieving the best balance between transmission rate and anti-interference performance. Based on the adaptive multi-carrier modulation strategy, the communication behavior of all communication nodes is collaboratively optimized and analyzed to obtain a multi-node collaborative anti-interference strategy. Based on the multi-node collaborative anti-interference strategy, power line carrier communication anti-interference is carried out to avoid resource conflicts and interference superposition during the communication anti-interference process. It can effectively suppress various types of noise interference in complex and time-varying power line channel environments, and significantly improve the reliability and transmission efficiency of power line carrier communication.

[0065] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structural composition of a power line carrier communication anti-interference system according to an embodiment of the present invention. The system includes: Signal mode decomposition module 31: used to acquire the communication signal of the power line carrier and perform mode decomposition on the communication signal to obtain the target mode component; Signal point extraction module 32: used to determine the bispectral map of the communication signal, and extract feature signal points of the communication signal based on the bispectral map and the target modal components; Type analysis module 33: used to analyze the interference type information of each communication node in the power line carrier network based on the characteristic signal points; Interference analysis module 34: used to perform interference analysis based on the interference type information and gain fluctuation to obtain the target interference level of each communication node; Strategy determination module 35: used to perform communication impact analysis of power line carrier network based on the interference type information and target interference degree, obtain communication impact information, and determine the adaptive multi-carrier modulation strategy of communication signal based on the communication impact information; Communication anti-interference module 36: used to perform collaborative optimization analysis on the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy, obtain a multi-node collaborative anti-interference strategy, and perform communication anti-interference on power line carrier based on the multi-node collaborative anti-interference strategy.

[0066] In the specific implementation of this invention, the specific implementation methods of the system items can be referred to the implementation methods of the above-mentioned method items, and will not be repeated here.

[0067] In this embodiment of the invention, the communication signal of the power line carrier is acquired, and the communication signal is decomposed to obtain the target mode component. The bispectral map of the communication signal is determined, and feature signal points of the communication signal are extracted based on the bispectral map and the target mode component, providing a high-quality feature data foundation for subsequent accurate determination of the interference type. The interference type information of each communication node in the power line carrier network is analyzed based on the feature signal points, and the interference degree is analyzed using gain fluctuation based on the interference type information. The communication impact analysis of the power line carrier network is performed based on the interference type information and the target interference degree. Based on the communication impact information, an adaptive multi-carrier modulation strategy for the communication signal is determined, which can effectively improve the reliability of the communication impact analysis. This allows the analyzed adaptive multi-carrier modulation strategy to maximize spectral efficiency while ensuring communication reliability, and to make global adjustments according to the interference state, achieving the best balance between transmission rate and anti-interference performance. Based on the adaptive multi-carrier modulation strategy, the communication behavior of all communication nodes is collaboratively optimized and analyzed to obtain a multi-node collaborative anti-interference strategy. Based on the multi-node collaborative anti-interference strategy, power line carrier communication anti-interference is carried out to avoid resource conflicts and interference superposition during the communication anti-interference process. It can effectively suppress various types of noise interference in complex and time-varying power line channel environments, and significantly improve the reliability and transmission efficiency of power line carrier communication.

[0068] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc.

[0069] Furthermore, the above provides a detailed description of the communication anti-interference method and system for power line carrier provided by the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A communication anti-interference method for power line carrier, characterized in that, The method includes: The communication signal of the power line carrier is acquired, and the communication signal is decomposed into modes to obtain the target mode components; Determine the bispectral map of the communication signal, and extract the feature signal points of the communication signal based on the bispectral map and the target modal components; Based on the aforementioned characteristic signal points, analyze the interference type information of each communication node in the power line carrier network; Based on the interference type information, interference degree analysis is performed using gain fluctuation to obtain the target interference degree of each communication node. Based on the interference type information and the target interference degree, the communication impact analysis of the power line carrier network is performed to obtain communication impact information, and an adaptive multi-carrier modulation strategy for the communication signal is determined based on the communication impact information. Based on the adaptive multi-carrier modulation strategy, the communication behavior of all communication nodes is analyzed collaboratively to obtain a multi-node collaborative anti-interference strategy, and the communication anti-interference of power line carrier is carried out based on the multi-node collaborative anti-interference strategy.

2. The communication anti-interference method for power line carrier according to claim 1, characterized in that, The step of performing mode decomposition on the communication signal to obtain target mode components includes: The communication signal is framed to obtain the framed communication signal; Noise-complete set empirical mode decomposition is performed on the communication signal after frame processing to obtain the initial mode components; The initial modal components are subjected to bandwidth-optimized variational mode decomposition to obtain the target modal components.

3. The communication anti-interference method for power line carrier according to claim 1, characterized in that, The process of determining the bispectral map of the communication signal and extracting feature signal points of the communication signal based on the bispectral map and the target modal components includes: The communication signal is segmented and preprocessed to obtain the segmented and preprocessed communication signal; The third-order cumulant is determined based on the segmented preprocessed communication signal, and a discrete Fourier transform is performed based on the third-order cumulant to obtain a local bispectral estimation map. The local bispectral estimation map is smoothed to obtain a smoothed local bispectral estimation map, and the bispectral map of the communication signal is determined based on the smoothed local bispectral estimation map. Transient event analysis is performed based on the target modal components to obtain transient event information; Based on the transient event information, a local bispectral slice is determined using the bispectral image, and feature signal points of the communication signal are extracted based on the local bispectral slice.

4. The communication anti-interference method for power line carrier according to claim 1, characterized in that, The analysis of interference type information for each communication node in the power line carrier network based on the characteristic signal points includes: Based on the characteristic signal points, the signal point affiliation of the communication nodes is assigned to obtain the signal point affiliation information; Based on the signal point attribution information, interference feature vector analysis is performed to obtain interference feature vector information; Based on the interference feature vector information, the interference type of each communication node is logically determined to obtain the interference type information of each communication node.

5. The communication anti-interference method for power line carrier according to claim 4, characterized in that, The step of performing interference feature vector analysis based on the signal point attribution information to obtain interference feature vector information includes: Based on the signal point attribution information, frequency distribution feature analysis is performed to obtain frequency distribution feature information; Based on the signal point attribution information, the time interval sequence of the feature signal points is determined, and time evolution feature information is extracted based on the time interval sequence; Modal correlation feature analysis is performed based on the signal point attribution information to obtain modal correlation feature information, and interference feature vector information is determined based on the frequency distribution feature information, time evolution feature information, and modal correlation feature information.

6. The communication anti-interference method for power line carrier according to claim 1, characterized in that, The method of analyzing the degree of interference based on the interference type information using gain fluctuations to obtain the target degree of interference for each communication node includes: Based on the information about the type of interference, a baseline weight coefficient is determined using a preset mapping lookup table; Analyze the cyclic redundancy check error frame rate and gain fluctuation of each communication node, and determine the bispectral entropy value based on the bispectral diagram; The high-frequency mode energy attenuation rate is determined based on the target mode components, and the channel statistical parameters are determined based on the bispectral entropy value, the high-frequency mode energy attenuation rate, the cyclic redundancy check error frame rate, and the gain fluctuation. The target interference level of each communication node is determined based on the channel statistical parameters and the benchmark weighting coefficient.

7. The communication anti-interference method for power line carrier according to claim 6, characterized in that, The determination of the target interference level of each communication node based on the channel statistical parameters and the benchmark weighting coefficient includes: The normalized deviation is determined based on the channel statistical parameters using a preset calibration reference value; The initial interference level of each communication node is determined based on the normalized deviation and the baseline weight coefficient. Path compensation information is obtained based on the network topology information database, and the instantaneous interference degree is determined based on the path compensation information and the initial interference degree. The instantaneous disturbance level is subjected to time-smoothing filtering to obtain the target disturbance level.

8. The communication anti-interference method for power line carrier according to claim 1, characterized in that, The step of performing communication impact analysis on the power line carrier network based on the interference type information and the target interference degree to obtain communication impact information, and determining an adaptive multi-carrier modulation strategy for the communication signal based on the communication impact information, includes: Based on the interference type information, pulse duration analysis is performed to obtain pulse duration information; Based on the pulse duration information and the target interference level, an inter-carrier interference risk analysis is performed to obtain the inter-carrier interference risk analysis results. Based on the target interference level, a robustness margin assessment is performed to obtain the robustness margin assessment result, and communication impact information is determined based on the inter-carrier interference risk analysis result and the robustness margin assessment result. Based on the communication impact information, an adaptive multicarrier modulation strategy for the communication signal is determined using a preset modulation scheme table.

9. The communication anti-interference method for power line carrier according to claim 1, characterized in that, The step of performing collaborative optimization analysis on the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy to obtain a multi-node collaborative anti-interference strategy includes: The node status table is determined based on the aforementioned adaptive multicarrier modulation strategy; Theoretical transmission duration analysis is performed based on the node status table to obtain theoretical transmission duration information; Based on the node status table and theoretical transmission duration information, the communication behavior of all communication nodes is analyzed collaboratively to obtain a multi-node collaborative anti-interference strategy.

10. A communication anti-interference system for power line carrier, characterized in that, The system includes: Signal mode decomposition module: used to acquire the communication signal of the power line carrier and perform mode decomposition on the communication signal to obtain the target mode component; Signal point extraction module: used to determine the bispectral map of the communication signal, and extract the feature signal points of the communication signal based on the bispectral map and the target modal components; Type analysis module: used to analyze the interference type information of each communication node in the power line carrier network based on the characteristic signal points; Interference Severity Analysis Module: Used to perform interference severity analysis based on the interference type information and gain fluctuations to obtain the target interference severity of each communication node; Strategy determination module: used to perform communication impact analysis of power line carrier network based on the interference type information and target interference degree, obtain communication impact information, and determine the adaptive multi-carrier modulation strategy of communication signal based on the communication impact information; Communication anti-interference module: used to perform collaborative optimization analysis on the communication behavior of all communication nodes based on the adaptive multi-carrier modulation strategy, obtain a multi-node collaborative anti-interference strategy, and perform communication anti-interference on power line carrier based on the multi-node collaborative anti-interference strategy.

Images