Signal transmission system with protection and anti-electromagnetic interference

Abstract

The application provides a signal transmission system with fusion protection and anti-electromagnetic interference, which improves the reliability and security of signal transmission in a complex electromagnetic environment. First, the application collects electromagnetic interference parameters and physical security state information in real time through an environment perception module to form dynamic environment perception data. Then, a fusion protection decision module generates adaptive protection and anti-interference control instructions based on multi-layer security strategies and interference modeling algorithms. Finally, a coordination module performs multi-path signal scheduling and redundancy merging operations according to the control instructions to improve the robustness of the overall link. Through the closed-loop control architecture of perception, decision and execution, the application significantly improves the cooperative protection capability of the signal system against high-intensity interference and physical threats.

Description

Technical Field

[0001] This invention relates to the field of signal transmission, specifically to a signal transmission system that integrates protection and electromagnetic interference resistance. Background Technology

[0002] With the widespread deployment of information systems in key scenarios such as industrial automation, aerospace, and military communications, the security and stability of signal transmission during robot operation have become the core guarantee for the reliable operation of the system. Especially in environments with strong electromagnetic interference (EMI), transmission links are susceptible to factors such as spectrum interference, transient impacts, and voltage drift, leading to data loss, increased bit error rate, and even communication interruption. In harsh application environments, in addition to electromagnetic interference, communication links also face security threats such as physical damage and malicious intrusion. Traditional technologies are unable to effectively cope with the combined threats of electromagnetic interference and physical attacks.

[0003] In the existing technology, there are communication systems based on spectrum hopping that can dynamically avoid certain interference frequency bands. The advantage is that it has a certain degree of channel selection capability. However, this technology relies on preset frequency band configuration, cannot perceive the type, intensity and location of interference in real time, and does not have a physical security detection mechanism or provide multi-path redundancy fusion function, resulting in insufficient reliability in complex interference scenarios. Summary of the Invention

[0004] In order to solve the technical problems mentioned in the background art, the present invention proposes a signal transmission system that integrates protection and anti-electromagnetic interference.

[0005] Therefore, the technical solution adopted by the present invention is as follows: A signal transmission system integrating protection and electromagnetic interference resistance, comprising: M1, an environmental perception module, includes multiple sensors and a signal acquisition unit. The multiple environmental sensors acquire environmental perception data along the signal transmission path; the signal acquisition unit monitors the currently transmitted signal in real time and outputs signal characteristic data. M2, the integrated protection decision module, includes a multi-layer protection strategy unit and an anti-interference algorithm unit. The multi-layer protection strategy unit dynamically allocates physical security protection measures based on environmental perception data and signal characteristic data, including multi-level security verification, data packet redundancy processing, and abnormal status alarms. The anti-interference algorithm unit combines physical security protection measures and environmental perception data, and outputs protection and anti-interference control commands through interference modeling and adaptive compensation algorithms. M3, the coordination module, constructs a multi-channel signal scheduling mechanism. The multi-channel signal scheduling mechanism performs signal multi-path distribution and redundancy merging operations according to protection and anti-interference control commands.

[0006] Furthermore, the environmental sensing data includes electromagnetic environment parameters and physical safety status information. The electromagnetic environment parameters are divided into electric field strength values. Magnetic field strength value and electromagnetic spectrum data The physical security status information is divided into three-dimensional acceleration vectors. Resistance value and instantaneous rate of change of voltage ; The signal characteristic data includes the signal-to-noise ratio. Bit error rate O and jitter variance .

[0007] Furthermore, the multi-layer protection strategy unit constructs a comprehensive state input vector based on the fuzzy rule system, denoted as... , is represented as:

[0008] For the aforementioned comprehensive state input vector, a fuzzy logic system is introduced for fuzzification processing, specifically, Define a fuzzy membership function to determine the membership degree of the electric field intensity value, using the following formula:

[0009] in, This indicates a high degree of membership in terms of electric field strength; A positive parameter that controls the slope; Indicates the center value of the high electric field; Based on the fuzzy membership function, the membership degree of each index in the comprehensive state input vector is determined, and a physical security protection measure rule table is established based on the combination of the membership degrees of each index.

[0010] Furthermore, the multi-layer protection strategy unit introduces a Bayesian network for joint probabilistic reasoning, expressed as:

[0011] in, Indicates the first One physical security protection measure; Indicates that in a given measure The probability of each index appearing in the next integrated state input vector; Represents prior probability; Finally, the multi-layer protection strategy unit outputs physical security protection measures. , is represented as:

[0012] in, Indicates the selected security verification mechanism number; Indicates the data packet redundancy rate; This indicates an alarm signal; 1 indicates an alarm, and 0 indicates normal operation.

[0013] Furthermore, the anti-interference algorithm unit includes three stages: interference modeling, adaptive interference compensation algorithm, and control command output. Specifically, 1) Interference modeling, using electromagnetic spectrum data Discretize into Each frequency point constitutes a time-varying interference vector, represented as:

[0014] Constructing a frequency coupling graph , Represents a set of nodes, corresponding to One frequency point, Indicates the modulation correlation between frequencies. The formula for summing up all frequencies is:

[0015] in, Indicates the total interference power; The standard deviation is further calculated using the following formula:

[0016] in, This represents the mean of the electromagnetic spectrum data; Indicates standard deviation; 2) Based on the aforementioned interference modeling, an adaptive interference compensation algorithm is established, and anti-interference filters and compensation mechanisms are configured. Configure parallel adaptive filter bank , Indicates the first There are 1 filter, each filter processes the currently sampled signal. Output filtering results The desired reference signal is set as Then the first Error signals of each filter Represented as:

[0017] The sampled signal and error signal are standardized to obtain the standardized signal. and , Update # The weights of each filter The formula is:

[0018] in, Indicates the first The updated weights of the filters; Indicates the first The step size coefficients of each filter; through the mapping function, from the filter weights... Calculate fusion weights , The outputs of each filter are weighted and fused to obtain the final compensated signal. The calculation formula is as follows:

[0019] in, This indicates the final compensation signal; 3) Output anti-interference control commands, expressed as:

[0020] in, Indicates the filter combination number; This represents the adaptive adjustment factor for filtering; This indicates the criteria for channel switching.

[0021] Furthermore, when At that time, the signal multipath distribution process is triggered; set up A set of selectable logical channels is formed, represented as follows:

[0022] Each channel A corresponding signal feature is represented as:

[0023] in, Indicates channel Signal-to-noise ratio; Indicates channel The bit error rate; Indicates channel The jitter variance; For the channel The bit error rate and jitter variance are standardized to obtain the standardized value. and The availability score for each channel is then calculated using the following formula:

[0024] in, Indicates channel Usability rating; This indicates the set signal-to-noise ratio reference value; , and These represent the non-negative weight coefficients of each indicator; Sort by usability score and select the top. The optimal channels form the current active path set, denoted as: .

[0025] Furthermore, the redundancy merging operation employs a weighted fusion strategy to perform fusion on data from... The signals from each channel are aggregated, and represented as follows:

[0026] in, This represents the target signal after fusion; Indicates the first The fusion weight of each channel is inversely proportional to the channel bit error rate; when the channel... If an abnormal state occurs, a channel switching operation will be performed.

[0027] Compared with the prior art, the advantages of the present invention are as follows: This invention is the first to unify the modeling of electromagnetic environment parameters and physical safety status information, forming an environmental perception dataset, and realizing comprehensive perception and dynamic analysis of signal transmission links.

[0028] This invention achieves joint control of interference intensity, adaptive filter parameters and security level through the coordinated operation of multi-layer protection strategy units and anti-interference algorithm units, combined with fuzzy inference and Bayesian modeling. It can dynamically generate protection and anti-interference control commands to effectively cope with complex and ever-changing interference modes.

[0029] 3. This invention constructs a channel availability scoring system to achieve parallel distribution and weight merging of the optimal channel; at the same time, it feeds back the control state to the upper-layer strategy module, forming a closed-loop control chain of perception, decision-making and scheduling, which greatly improves the stability and recovery capability of the system under strong interference environment. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a flowchart of the signal transmission system of the present invention; Figure 2This is a flowchart of the environmental perception module of the present invention; Figure 3 This is a flowchart of the fusion protection decision module of the present invention. Detailed Implementation

[0032] To achieve the above objectives, the present invention provides the following technical solution, which includes: M1, a sensing module, includes multiple sensors and a signal acquisition unit. The multiple sensors collect environmental perception data along the signal transmission path; the signal acquisition unit monitors the currently transmitted signal in real time and outputs signal characteristic data. Environmental sensing data includes electromagnetic environment parameters and physical safety status information, collected jointly by multiple sensors. Electromagnetic environment parameters are used to monitor the source and intensity of electromagnetic interference, specifically including electric field strength, magnetic field strength, and the electromagnetic interference spectrum. Electric field strength reflects the electromagnetic interference generated by capacitive coupling; a higher electric field strength means more severe interference on the signal transmission path. The electric field strength is acquired in real time by an electric field strength sensor and expressed as an electric field strength value. As one of the electromagnetic environment parameters, Magnetic field strength reflects the magnetic induction interference caused by current, which typically affects signal transmission quality. Magnetic field strength is acquired in real time by a magnetic field sensor and output as... As one of the electromagnetic environment parameters, The electromagnetic interference spectrum represents the spectral density of the electromagnetic interference signal. It is acquired by a spectrum analyzer or EMI scanning detector and reflects the interference intensity at various frequencies. The electromagnetic spectrum data is obtained by performing a Fourier transform on the electromagnetic signal. As one of the electromagnetic environment parameters, Electric field strength, magnetic field strength, and electromagnetic interference spectrum are collected and integrated by electromagnetic environment sensors to form electromagnetic environment parameters.

[0033] Physical safety status information is used to monitor the physical integrity of signal transmission equipment, ensuring that the system is protected from damage and adverse environmental conditions at the physical level. This primarily includes sensors for vibration, damage detection, and voltage. Vibration sensors are used to monitor the physical vibration of equipment, typically detecting impacts, drops, or physical damage. The output of a vibration sensor is a three-dimensional acceleration vector. , Damage detection sensors are used to monitor whether a structure has suffered physical damage. They detect the resistance value of the structure based on the Wheatstone bridge principle or strain gauges. If the resistance value exceeds the set threshold, the device is considered damaged, and an alarm is triggered. Voltage sensors are used to detect the instantaneous rate of change of power supply voltage. In particular, voltage transients that may be caused by electromagnetic pulses (EMPs) are a significant indicator of electromagnetic attacks (such as EMPs). When the instantaneous rate of change of voltage exceeds a set threshold, it indicates a possible electromagnetic attack or power supply fluctuation. The three-dimensional acceleration vector, resistance value, and instantaneous rate of change of voltage are acquired through vibration, damage detection, and voltage sensors, ultimately forming physical safety status information.

[0034] The function of the signal acquisition unit is to monitor the transmitted signal in real time and output signal characteristic data, including three main indicators: signal-to-noise ratio, bit error rate, and jitter variance. In this embodiment, the signal acquisition unit performs timed sampling of the transmitted signal using an analog-to-digital converter (ADC) to generate equally spaced discrete signal sequences. Through statistical and frequency domain analysis, it extracts three main indicators—signal-to-noise ratio, bit error rate, and jitter variance—to measure the performance of the current channel. The signal-to-noise ratio (SNR) reflects the power ratio of the signal to the background noise and is the most direct measure of communication link performance. The calculation formula is:

[0035] in, This represents the average signal power within a unit interval; Indicates background noise power; This indicates the signal-to-noise ratio; the higher the ratio, the stronger the signal and the more reliable the transmission. Bit error rate O Error detection represents the proportion of erroneous bits received per unit time or per unit codeword. It is a key indicator for measuring the reliability of a communication link. Error detection is based on bit-level reconstruction and verification comparison, and is achieved by comparing bit by bit with a reference code stream. Jitter refers to the time fluctuation of signal symbol edges (such as rising edges). Severe jitter can lead to misjudgment of sampling points. Statistically, it is expressed as the variance of edge time, i.e., jitter variance. The smaller the value, the more stable the timing and the lower the risk of missampling.

[0036] Ultimately, the output of the environmental perception module includes electromagnetic environment parameters, physical safety status information, and signal characteristic data. This data will be passed as input to the fusion protection decision module to provide necessary environmental and signal characteristic support and help generate targeted anti-interference and protection strategies.

[0037] M2, the integrated protection decision module, includes a multi-layer protection strategy unit and an anti-interference algorithm unit. The multi-layer protection strategy unit dynamically allocates physical security protection measures based on environmental perception data and signal characteristic data, including multi-level security verification, data packet redundancy processing, and abnormal state alarms. The anti-interference algorithm unit combines physical security protection measures and environmental perception data, and outputs protection and anti-interference control commands suitable for the current environment through interference modeling and adaptive compensation algorithms. The integrated protection decision module is used to comprehensively analyze the data input from the environmental perception module and dynamically output protection and anti-interference control commands to ensure the reliability of signal transmission and the physical security of the system. The module consists of two parts: a multi-layer protection strategy unit and an anti-interference algorithm unit. The units work together to achieve intelligent management and control of the signal transmission link in complex electromagnetic environments.

[0038] The multi-layered protection strategy unit dynamically allocates physical security protection measures based on environmental perception data and signal characteristic data, including redundant coding, security verification, and anomaly alarm mechanisms. To achieve more granular decision control, this unit employs a fuzzy rule system combined with a Bayesian inference network. Construct a comprehensive state input vector, denoted as This is used to reflect the current environmental state and is represented as:

[0039] To address the uncertainty and fuzziness of the various indicators in the comprehensive state input vector, a fuzzy logic system is introduced to fuzzify the comprehensive state input vector. In this embodiment, the electric field strength is fuzzified into low electric field, medium electric field, and high electric field, and the bit error rate is fuzzified into low bit error rate and high bit error rate, etc. Define a fuzzy membership function to determine the membership degree of electric field intensity values. The formula is as follows:

[0040] in, This indicates a high membership degree for the electric field strength value; A positive parameter that controls the slope; The center value of the high electric field is represented; the membership degree of each index in the comprehensive state input vector is determined according to the fuzzy membership function, and a physical safety protection measure rule table is established based on the combination of membership degrees of multiple input variables.

[0041] To improve reliability under fuzzy boundaries, the multi-layered protection strategy unit introduces a Bayesian network for joint probabilistic inference, expressed as:

[0042] in, Indicates the first In this embodiment, physical security protection measures include alarm triggering, increasing redundancy ratio, or switching channels. Indicates that under a given policy The probability of each index appearing in the next integrated state input vector; This represents the prior probability, which is updated by experience or statistical learning. Ultimately, the strategy output is encapsulated as physical security measures. , is represented as:

[0043] in, Indicates the selected security verification mechanism number; Indicates the data packet redundancy rate; This indicates an alarm signal; 1 indicates an alarm, and 0 indicates normal operation.

[0044] In this embodiment, the physical safety protection measures rule table is specifically represented as follows: when the detected electric field strength is high (e.g., >200V / m) and the bit error rate is higher than 0.1%, this state is input into the fuzzy rule system. The fuzzy inference result is high electric field and high bit error rate. The Bayesian network infers based on prior probability that "high-level CRC check + data double redundancy needs to be enabled". The physical safety protection measures are to enable the three-level security check and data packet double redundancy mechanism, and trigger a local alarm and start the physical protection shell shutdown mechanism to ensure that the device is not affected by the instantaneous electric field impact.

[0045] The anti-interference algorithm unit is used to model signal interference behavior in complex electromagnetic environments and combine it with physical safety protection strategies to achieve adaptive compensation control, thereby improving the stability and anti-interference capability of signal transmission. This unit mainly includes three core components: interference modeling, adaptive interference compensation algorithm, and control command output. The specific steps are as follows: 1) Interference spectrum modeling, which involves using electromagnetic spectrum data. Discretize into Each frequency point constitutes a time-varying interference vector, represented as:

[0046] Constructing a frequency coupling graph , Represents a set of nodes, corresponding to Each frequency point represents the electromagnetic interference intensity, measured in dB. The frequency coupling plot represents the modulation correlation between frequencies and supports the identification of the spatial distribution of multi-source interference or frequency modulation / amplitude modulation interference. The total interference strength is assessed by summing the results across all frequencies using the following formula:

[0047] in, This represents the total interference power, used to measure the overall intensity of the current interference; 10 is the conversion base. This indicates that the intensity of electromagnetic interference is obtained through logarithmic inversion. (Unit: dB) Converted to linear power value, final The unit is watt (W); In this embodiment, The value is 30dB, which, through logarithmic inversion, is converted into the actual linear power, expressed as:

[0048] The calculation results indicate that the actual linear power corresponding to an electromagnetic interference intensity of 30 dB is 1000 watts.

[0049] To determine whether the interference has obvious structure, the standard deviation is further calculated using the following formula:

[0050] in, This represents the mean of the electromagnetic spectrum data; The standard deviation represents the degree of fluctuation in interference; a larger standard deviation indicates that the interference is more concentrated at certain frequency points. 2) Establish an adaptive interference compensation algorithm to dynamically configure anti-interference filters and compensation mechanisms based on interference modeling, thereby achieving signal reconstruction. Configure parallel adaptive filter bank , Indicates the first There are 1 filter, each filter processes the currently sampled signal. Output filtering results The desired reference signal is set as Then the first Error signals of each filter Represented as:

[0051] The sampled signal and error signal are standardized to obtain the standardized signal. and , No. The weights of each filter Updated using the Least Mean Square Error (LMS) algorithm, the formula is as follows:

[0052] in, Indicates the first The updated weights of the filters; Indicates the first The step size coefficients of each filter; through the mapping function, from the filter weights... Calculate fusion weights , The outputs of each filter are weighted and fused to obtain the final compensation signal. The calculation formula is:

[0053] 3) Based on the final compensation signal and environmental sensing data, output the anti-interference control command, expressed as:

[0054] in, Indicates the filter combination number; This represents the adaptive adjustment factor for filtering, used to adjust the filter weights; This indicates the channel switching criteria; combined with physical security measures, the final output is a protection and anti-interference control command suitable for the current environment. .

[0055] M3, the coordination module, constructs a multi-channel signal scheduling mechanism. This mechanism performs multi-path signal distribution and redundancy merging operations based on protection and anti-interference control commands. In environments with strong interference, selecting multiple high-quality channels to transmit data with the same or redundant encoding can significantly reduce the overall probability of data loss. Specifically, When the channel switching criterion When the time comes, the multi-path scheduling process is automatically triggered; preset A set of selectable logical channels is formed, represented as follows:

[0056] Each channel A corresponding signal feature is represented as:

[0057] in, Indicates channel Signal-to-noise ratio; Indicates channel The bit error rate; Indicates channel The jitter variance; For the channel The bit error rate and jitter variance are standardized to obtain the standardized value. and .

[0058] The availability score of each channel is calculated using an evaluation function, and the channels are then ranked. A higher availability score indicates better quality. The calculation formula is as follows:

[0059] in, Indicates channel Usability rating; This indicates the set signal-to-noise ratio reference value, such as 30; , and Let represent the non-negative weight coefficients of each indicator, representing the degree of importance attached to each factor, and satisfy the condition that the sum equals 1; Sort by usability rating and select the top. The optimal channels form the current active path set, denoted as: .

[0060] The receiver will come from The signals from each channel are aggregated. The aggregation method is based on the current redundancy coding strategy and channel availability. The merging process adopts a weighted fusion strategy, and the calculation formula is as follows:

[0061] in, This represents the target signal after fusion; Indicates the first The fusion weight of each channel is inversely proportional to the channel bit error rate. The lower the bit error rate of a channel, the greater the fusion weight. This ensures that high-quality signals contribute more to the fusion result and improves demodulation accuracy. In this embodiment, when uploading high-priority data inside the emergency command vehicle, five currently available logical channels are identified, with corresponding signal-to-noise ratios (SNRs) of 28, 32, 30, 20, and 35 dB, respectively. Channels 2, 5, and 3 are selected to form an active path set based on availability scores. Channel 5 has the lowest bit error rate and a fusion weight of 0.45, while channel 3, due to its slightly higher bit error rate, has a weight of 0.25. The final weighted aggregation reduces the signal bit error rate to [missing value]. The following ensures reliable real-time transmission of signal data.

[0062] During signal transmission, the channel status is monitored throughout the entire process. An abnormal state occurs when both the bit error rate and jitter variance are below the set thresholds. This indicates that the channel no longer meets reliability requirements, and it is automatically marked as an unreliable channel, triggering a channel handover operation. Specifically, The channel with the highest availability score is selected from the candidate channels and added to the current active path set; when all channels fail to meet the conditions, a control backoff signal is sent to the fusion protection decision module to regenerate protection and anti-interference control commands.

[0063] The signal transmission system proposed in this invention integrates protection and electromagnetic interference resistance, combining various environmental perception data and signal characteristic data. It achieves unified detection and modeling of electromagnetic interference and physical damage for the first time, breaking through the limitation of traditional communication systems that can only cope with a single interference source. This invention adopts a modular architecture, including three core parts: an environmental perception module, an integrated protection decision module, and a coordination module. It realizes dynamic decision-making of multi-layer security strategies through fuzzy logic and Bayesian inference, achieves high-precision interference compensation control through interference spectrum modeling and parallel adaptive filter design, and introduces channel availability scoring and redundancy merging mechanisms to ensure reliable transmission of communication links in high interference environments.

[0064] In summary, this invention constructs an intelligent signal control system that integrates protection and anti-interference, achieving closed-loop control from environmental perception and strategy decision-making to channel scheduling. It features high adaptability, high robustness, and high security, and is particularly suitable for high-reliability scenarios such as aerospace, power systems, and military communications. It is of great significance for improving communication stability and system security in harsh environments.

[0065] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A signal transmission system that fuses protection and anti-electromagnetic interference, characterized in that, The system includes: M1, an environmental perception module, includes multiple sensors and a signal acquisition unit. The multiple sensors acquire environmental perception data along the signal transmission path; the signal acquisition unit monitors the currently transmitted signal in real time and outputs signal characteristic data. M2, the integrated protection decision module, includes a multi-layer protection strategy unit and an anti-interference algorithm unit. The multi-layer protection strategy unit dynamically allocates physical security protection measures based on environmental perception data and signal characteristic data, including multi-level security verification, data packet redundancy processing, and abnormal status alarms. The anti-interference algorithm unit combines physical security protection measures and environmental perception data, and outputs protection and anti-interference control commands through interference modeling and adaptive compensation algorithms. M3, the coordination module, constructs a multi-channel signal scheduling mechanism, which performs signal multi-path distribution and redundancy merging operations according to protection and anti-interference control commands; The anti-interference algorithm unit comprises three parts: interference modeling, adaptive interference compensation algorithm, and control command output. Specifically, 1) Interference modeling, discretizing electromagnetic spectrum data into individual frequency bins, constructing time-varying interference vectors, denoted as: ； Constructing a frequency coupling graph , Represents a set of nodes, corresponding to One frequency point; Indicates the modulation correlation between frequencies. The formula for summing up all frequencies is: ； in, Indicates the total interference power; The standard deviation is further calculated using the following formula: ； in, This represents the mean of the electromagnetic spectrum data; Indicates standard deviation; 2) Based on the aforementioned interference modeling, an adaptive interference compensation algorithm is established, and anti-interference filters and compensation mechanisms are configured. Configure parallel adaptive filter bank , Indicates the first There are 1 filter, each filter processes the currently sampled signal. Output filtering results The desired reference signal is set as Then the first Error signals of each filter Represented as: ； The sampled signal and error signal are standardized to obtain the standardized signal. and , Update # The weights of each filter The formula is: ； in, Indicates the first The updated weights of the filters; Indicates the first The step size coefficients of each filter; through the mapping function, from the filter weights... Calculate fusion weights , The outputs of each filter are weighted and fused to obtain the final compensated signal. The calculation formula is as follows: ； in, This indicates the final compensation signal; 3) Output anti-interference control commands, expressed as: ； in, Indicates the filter combination number; This represents the adaptive adjustment factor for filtering; Indicates the channel switching criteria; when At that time, the signal multipath distribution process is triggered; set up A set of selectable logical channels is formed, represented as follows: ； Each channel A corresponding signal feature is represented as: ； in, Indicates channel Signal-to-noise ratio; Indicates channel The bit error rate; Indicates channel The jitter variance; For the channel The bit error rate and jitter variance are standardized to obtain the standardized value. and The availability score for each channel is then calculated using the following formula: ； in, Indicates channel Usability rating; This indicates the set signal-to-noise ratio reference value; , and These represent the non-negative weight coefficients of each indicator; Sort by usability score and select the top. The optimal channels form the current active path set, denoted as: .

2. The signal transmission system integrating protection and electromagnetic interference resistance according to claim 1, characterized in that, The environmental sensing data includes electromagnetic environment parameters and physical safety status information. The electromagnetic environment parameters are divided into electric field strength values. Magnetic field strength value and electromagnetic spectrum data The physical security status information is divided into three-dimensional acceleration vectors of signal transmission devices. Resistance value and instantaneous rate of change of voltage ; The signal characteristic data includes the signal-to-noise ratio. Bit error rate O and jitter variance .

3. The signal transmission system integrating protection and electromagnetic interference resistance according to claim 2, characterized in that, The multi-layer protection strategy unit constructs a comprehensive state input vector based on the fuzzy rule system, denoted as... , is represented as: ； For the aforementioned comprehensive state input vector, a fuzzy logic system is introduced for fuzzification processing, specifically, Define a fuzzy membership function to determine the membership degree of the electric field intensity value, using the following formula: ； in, This indicates a high degree of membership in terms of electric field strength; A positive parameter that controls the slope; Indicates the center value of the high electric field; Based on the fuzzy membership function, the membership degree of each index in the comprehensive state input vector is determined, and a physical security protection measure rule table is established based on the combination of the membership degrees of each index.

4. The signal transmission system integrating protection and electromagnetic interference resistance according to claim 3, characterized in that, The multi-layered protection strategy unit introduces a Bayesian network for joint probabilistic reasoning, expressed as: ； in, Indicates the first One physical security protection measure; Indicates that in a given measure The probability of each index appearing in the next integrated state input vector; Represents prior probability; Finally, the multi-layer protection strategy unit outputs physical security protection measures. , is represented as: ； in, Indicates the selected security verification mechanism number; Indicates the data packet redundancy rate; This indicates an alarm signal; 1 indicates an alarm, and 0 indicates normal operation.

5. The signal transmission system integrating protection and electromagnetic interference resistance according to claim 4, characterized in that, The redundancy merging operation uses a weighted fusion strategy to perform fusion on redundancy from... The signals from each channel are aggregated, and represented as follows: ； in, This represents the target signal after fusion; Indicates the first The fusion weight of each channel is inversely proportional to the channel bit error rate; when the channel... If an abnormal state occurs, a channel switching operation will be performed.

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