A Multi-Band Electromagnetic Compatibility Evaluation Method and System in a Combat Scenario

Abstract

The present invention discloses a method and system for evaluating multi-band electromagnetic compatibility in a combat scenario. The method constructs a spectrum occupancy probability model in a non-cooperative confrontation environment to calculate the enemy's spectrum occupancy probability distribution; establishes a multi-band electromagnetic compatibility matrix, and applies a dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation scheme; calculates the overall electromagnetic compatibility of the system based on the compatibility score between the equipment and the frequency band and the enemy's spectrum occupancy risk; regularly updates the spectrum occupancy probability model according to the electromagnetic environment change threshold to achieve dynamic evaluation of multi-band electromagnetic compatibility; under the condition of non-cooperative spectrum sharing, the present invention comprehensively considers the mutual interference between our equipment and the enemy's spectrum occupancy risk, realizes real-time dynamic evaluation of electromagnetic compatibility in a combat scenario, and provides effective support for battlefield spectrum resource management and command decision-making.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic compatibility evaluation, and particularly to a multi-band electromagnetic compatibility evaluation method and system in a combat scenario. Background Art

[0002] Traditional electromagnetic compatibility evaluation methods mainly face civilian or static scenarios, usually based on pre-planned and spectrum coordination mechanisms, assuming that each system can cooperate with each other.

[0003] However, the combat scenario has the characteristics of high dynamics and confrontation, and there are the following problems: First, the spectrum usage of the enemy is uncertain, and the spectrum occupancy shows randomness and concealment; second, the battlefield electromagnetic environment changes rapidly, making it difficult to maintain the effectiveness of static evaluation; third, multiple military devices work simultaneously and with high power, and the mutual interference problem is serious.

[0004] Therefore, there is an urgent need for a method and system that can adapt to the characteristics of the combat scenario, consider the uncertainty of the enemy's spectrum occupancy, and realize the dynamic evaluation of multi-band electromagnetic compatibility, so as to improve the utilization efficiency of battlefield spectrum resources and ensure the normal operation of various electronic devices. Summary of the Invention

[0005] The present invention provides a multi-band electromagnetic compatibility evaluation method and system in a combat scenario, which is used to solve the problems in the prior art such as not considering the uncertainty of the enemy's spectrum occupancy, the difficulty of static evaluation methods to adapt to the rapid change of the battlefield electromagnetic environment, and the complexity of mutual interference among multiple devices, and realizes the purpose of dynamic and accurate evaluation of electromagnetic compatibility under combat conditions.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] In the first aspect, the present invention provides a multi-band electromagnetic compatibility evaluation method in a combat scenario, and the method includes the following steps:

[0008] Step S1, construct a spectrum occupancy probability model in a non-cooperative confrontation environment, calculate the enemy's spectrum occupancy probability distribution through the spectrum occupancy probability model, and the spectrum occupancy probability distribution reflects the occupancy risk of the enemy for each frequency band.

[0009] Step S2, establish a multi-band electromagnetic compatibility matrix, the elements of the multi-band electromagnetic compatibility matrix represent the compatibility between our equipment and each frequency band, and apply a dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation plan based on the electromagnetic compatibility matrix.

[0010] The compatibility between our equipment and each frequency band comprehensively considers the equipment signal quality index, interference intensity, and the enemy's spectrum occupancy probability; the optimal spectrum allocation plan satisfies the constraint conditions that each frequency band is allocated to at most one device and each device is allocated at least one frequency band.

[0011] Step S3: Calculate the overall electromagnetic compatibility of the system based on the compatibility scores of our equipment with each frequency band and the spectrum occupancy risks of the enemy.

[0012] Step S4: According to the changes in the real-time battlefield electromagnetic environment, regularly update the spectrum occupancy probability model according to the electromagnetic environment change threshold, and repeat Steps S1 to S3 to achieve dynamic evaluation of multi-band electromagnetic compatibility in the combat scenario.

[0013] Furthermore, the expression of the spectrum occupancy probability model is: , where represents the enemy spectrum occupancy probability distribution, represents the central frequency of the th frequency band, is the total number of frequency bands; represents the set of spectrum occupancy states observed at time is the likelihood function, indicating the probability of observing under the condition that the frequency band is occupied; is the prior probability, indicating the probability that the frequency band is occupied by the enemy based on historical data; is the evidence factor, used to normalize the probability distribution.

[0014] Furthermore, the multi-band electromagnetic compatibility matrix is expressed as , where the matrix element represents the compatibility of our equipment with the frequency band , and the calculation formula is: , where represents the signal quality index of the equipment on the frequency band ; represents the interference intensity received by the equipment on the frequency band ; , , are the weight coefficients, and , .

[0015] Furthermore, the calculation formula of the signal quality index is: ; where is the signal-to-noise ratio of the equipment on the frequency band , is the equipment The reciprocal of the bit error rate in the frequency band is the reciprocal of the packet loss rate of the device in the frequency band in the frequency band is the reciprocal of the packet loss rate.

[0016] Furthermore, the calculation method of the interference intensity is as follows: ; where M is the total number of our devices, represents the transmission power of the device in the frequency band ; represents the mutual interference coefficient between the frequency band and the frequency band , is the enemy interference threat coefficient, , indicating the threat level of the enemy interference to our communication system; is a binary variable, taking values of 0 or 1, indicating whether to allocate the frequency band to the device : when , it means that the frequency band has been allocated to the device ; when , it means that the frequency band has not been allocated to the device .

[0017] Furthermore, the mutual interference coefficient between the frequency band and the frequency band is related to the frequency band interval and spectrum leakage, and its calculation formula is: , where is the frequency interval attenuation coefficient, and respectively represent the center frequencies of the th frequency band and the th frequency band.

[0018] Furthermore, applying the dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation scheme based on the electromagnetic compatibility matrix , where is a binary matrix, and the matrix element indicates whether to allow allocating the frequency band to the device . When , it means allowing to allocate the frequency band to the device . When , it means not allowing the allocation operation.

[0019] Furthermore, the optimization objective of the optimal spectrum allocation scheme is: , satisfying the constraint conditions: , and .

[0020] Furthermore, based on the compatibility scores of our equipment with each frequency band and the risk of enemy occupation of each spectrum, calculate the overall electromagnetic compatibility of the system , and the calculation formula is: ; is the enemy interference sensitivity coefficient, .

[0021] Furthermore, when more than half of the equipment in our equipment has the frequency hopping ability, takes the value of 0.5; when the sum of the equipment using direct sequence spread spectrum technology and conventional fixed frequency equipment in our equipment accounts for more than half, takes the value of 0.7; otherwise, takes the value of 0.6.

[0022] Furthermore, according to the change of the real-time battlefield electromagnetic environment, the specific method for regularly updating the spectrum occupancy probability model according to the electromagnetic environment change threshold is as follows:

[0023] Set the time interval for evaluating the spectrum occupancy probability distribution as , not greater than 10 minutes; calculate the divergence of the spectrum occupancy probability distributions evaluated twice in succession: ; where, and respectively represent the enemy spectrum occupancy probability distributions at time and time;

[0024] If , it is considered that the electromagnetic environment has changed significantly and a complete electromagnetic compatibility assessment process needs to be re-executed; otherwise, use the previous assessment result.

[0025] Based on the same inventive concept, the present invention provides a multi-band electromagnetic compatibility assessment system in a combat scenario for implementing the method in the first aspect. The system includes: an electromagnetic environment perception module, a spectrum occupancy analysis module, an electromagnetic compatibility assessment module, an electromagnetic environment change monitoring module, and an assessment result output module.

[0026] Further, the electromagnetic environment perception module is used to collect battlefield electromagnetic environment information and monitor the spectrum occupancy status; the spectrum occupancy analysis module is used to construct a spectrum occupancy probability model in a non-cooperative confrontation environment and calculate the enemy's spectrum occupancy probability distribution through the spectrum occupancy probability model; the electromagnetic compatibility evaluation module is used to establish a multi-band electromagnetic compatibility matrix, where the elements of the multi-band electromagnetic compatibility matrix represent the compatibility between our equipment and each frequency band, and apply a dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation scheme based on the electromagnetic compatibility matrix; and calculate the overall electromagnetic compatibility of the system based on the compatibility scores between our equipment and each frequency band and the enemy's occupancy risk for each spectrum; the electromagnetic environment change monitoring module is used to monitor the changes in the electromagnetic environment in real time, and when the electromagnetic environment changes significantly, that is it triggers a re-evaluation; the evaluation result output module is used to present the electromagnetic compatibility evaluation result in a visual manner and provide compatibility evaluation data to the command and decision-making system.

[0027] Further, the system further includes:

[0028] A spectrum resource management module, which is used to perform dynamic allocation and adjustment of spectrum resources according to the electromagnetic compatibility evaluation result; a historical data analysis module, which is used to store and analyze historical electromagnetic environment data and compatibility evaluation results to provide prior knowledge for the spectrum occupancy probability model.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] By comprehensively considering the equipment signal quality index, interference intensity, and the enemy's spectrum occupancy probability, the present invention establishes a multi-dimensional electromagnetic compatibility matrix, introduces a dynamic spectrum allocation algorithm, and realizes the optimal allocation of spectrum resources under the premise of meeting the constraint conditions, maximizing the overall electromagnetic compatibility of the system; comprehensively considering the mutual interference between equipment and the enemy's interference threat, realizes the dynamic evaluation of electromagnetic compatibility, and provides effective support for battlefield spectrum resource management. Description of the Drawings

[0031] Figure 1 It is a flowchart of a multi-band electromagnetic compatibility evaluation method in a combat scenario of the present invention;

[0032] Figure 2 It is a schematic diagram of the composition of a multi-band electromagnetic compatibility evaluation system in a combat scenario of the present invention. Detailed Embodiments

[0033] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the present invention will be described clearly and completely below. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] It should be noted that when the present invention conducts multi-band electromagnetic compatibility assessment in a combat scenario, it mainly considers the spectrum usage behaviors of both friendly and enemy forces in a non-cooperative confrontation environment. Among them, information sharing and coordination can be achieved among our own devices, while the spectrum usage situation of enemy devices needs to be obtained through observation and inference.

[0035] The present invention is applicable to the electromagnetic compatibility assessment of various military electronic devices such as tactical communication networks, electronic countermeasure systems, and radar systems.

[0036] As Figure 1 shown, it is a flowchart of a method for multi-band electromagnetic compatibility assessment in a combat scenario of the present invention. The method includes the following steps:

[0037] Step S1: Construct a spectrum occupancy probability model in a non-cooperative confrontation environment, and calculate the enemy spectrum occupancy probability distribution through the spectrum occupancy probability model. The spectrum occupancy probability distribution reflects the occupancy risk of the enemy for each frequency band.

[0038] The spectrum occupancy probability model constructed in Step S1 is mainly based on the Bayesian inference framework, and is applicable to modeling the uncertainty of the enemy's spectrum usage behavior in the battlefield environment. A corresponding observation mechanism is set according to the characteristics of the battlefield area. For example, in a complex urban environment, multiple distributed sensing nodes can be deployed to form a sensing network to improve the accuracy of spectrum occupancy status monitoring; in an open area, a high-gain directional antenna can be used to improve the long-distance detection ability.

[0039] The expression of the spectrum occupancy probability model is: , where represents the enemy spectrum occupancy probability distribution, represents the center frequency of the th frequency band, , is the total number of frequency bands; represents the set of spectrum occupancy status observed at time is the likelihood function, which represents the probability of observing under the condition that the frequency band is occupied; is the prior probability, which represents the probability of predicting that the frequency band is occupied by the enemy based on historical data; is an evidence factor used to normalize the probability distribution.

[0040] Prior probability can be obtained by combining the enemy's spectrum usage preferences, temporal patterns, and geographical distribution characteristics in the historical database, or by referring to the technical parameters of the enemy's typical communication equipment. For example, for a certain type of enemy communication system, if it is known that its operating frequency band is concentrated in 420 - 450 MHz, a relatively high prior probability can be set for the corresponding frequency band. In addition, in the case of lack of information, the principle of maximum entropy can be used to set a uniform distribution as the prior. The evidence factor can be calculated by summing the marginal probabilities of all possible frequency bands, that is: .

[0041] Step S2, establish a multi - band electromagnetic compatibility matrix. The elements of the multi - band electromagnetic compatibility matrix represent the compatibility between our equipment and each frequency band, and calculate the optimal spectrum allocation scheme based on the electromagnetic compatibility matrix using the dynamic spectrum allocation algorithm.

[0042] The compatibility between our equipment and each frequency band comprehensively considers the equipment signal quality index, interference intensity, and the enemy's spectrum occupancy probability; the multi - band electromagnetic compatibility matrix is expressed as , where the matrix element represents the compatibility between our equipment and the frequency band , and the calculation formula is: , where, represents the signal quality index of the equipment on the frequency band ; represents the interference intensity received by the equipment on the frequency band ; , , are weight coefficients, and , .

[0043] The weight coefficient indicates that the contribution of signal quality to compatibility accounts for half of the weight, considering that signal quality is the basic guarantee for the performance of the communication system, while and share the remaining 0.5 weight together. The specific allocation can be flexibly adjusted according to the importance of the combat mission and the enemy's electronic warfare capabilities; for example, in an environment with high - intensity electronic warfare, can be set to increase the prevention of the risk of the enemy's spectrum occupancy; in an important communication guarantee mission, the value can be appropriately increased to pay more attention to avoiding internal interference.

[0044] Set according to the combat requirements and of typical combinations, such as ( ), ( ) or ( ), which are convenient for the commanders to quickly select according to the battlefield situation.

[0045] Signal quality index The calculation formula is: ; where is the signal-to-noise ratio of the device in the frequency band , is the reciprocal of the bit error rate of the device in the frequency band , is the reciprocal of the packet loss rate of the device in the frequency band . The signal-to-noise ratio reflects the physical layer signal strength, usually in decibels (dB), and needs to be normalized and converted to the range.

[0046] The following mapping function is adopted: , set , ; The reciprocal of the bit error rate and the reciprocal of the packet loss rate reflect the link layer and network layer performance, and also need to be normalized.

[0047] Interference intensity The calculation method is: ; where M is the total number of our devices, represents the transmission power of the device in the frequency band ; represents the mutual interference coefficient between the frequency band and the frequency band , is the enemy interference threat coefficient, , representing the threat degree of the enemy interference to our communication system; is a binary variable, taking values of 0 or 1, indicating whether the frequency band is allocated to the device : when , it means that the frequency band has been allocated to the device ; when , it means that the frequency band has not been allocated to the device .

[0048] Interference intensity The calculation takes into account two sources of interference, internal and external; the internal interference source is the mutual influence generated by the simultaneous operation of multiple devices on our side, and the cumulative effect of all potential interference sources is calculated through double summation; the transmit power of the device is usually measured in watts (W) or dBm, and the characteristics of the device itself, antenna gain, and propagation loss need to be considered, and it can be represented by the equivalent radiated power.

[0049] When considering the actual communication modulation method, the function can be further refined. For example, for OFDM modulation, the function characteristics can be used to model the spectral leakage. The threat coefficient of the enemy's interference can be estimated based on the intensity of battlefield electronic warfare. Usually, in the area with intensive electronic warfare, the value is close to 1, and in the area with low electronic warfare threat, the value is close to 0.

[0050] Frequency band and frequency band The mutual interference coefficient between is related to the frequency band interval and spectral leakage, and its calculation formula is: , where is the frequency interval attenuation coefficient, and respectively represent the center frequency of the th frequency band and the th frequency band. The frequency interval attenuation coefficient is a key parameter, and different types of devices have different values. For example, narrowband communication devices can set , and broadband devices can set ; the exact value can be obtained by testing specific device combinations.

[0051] For example, for a certain type of software-defined radio, the mutual interference levels at different frequency intervals are measured through experiments, and is obtained by fitting. The center frequency of the frequency band and should be in the same unit, usually in MHz, and is in the unit of

[0052] The optimal spectrum allocation scheme described satisfies the constraint conditions that each frequency band is allocated to at most one device and each device is allocated at least one frequency band; the dynamic spectrum allocation algorithm is applied to calculate the optimal spectrum allocation scheme based on the electromagnetic compatibility matrix , where is a binary matrix, and the matrix element indicates whether it is allowed to allocate the frequency band to the device , when Indicates that the frequency band is allowed to be allocated to the device , when Indicates that the allocation operation is not allowed.

[0053] The optimization objective of the optimal spectrum allocation scheme is: , satisfying the constraint conditions: , and ; The optimization goal is to maximize the overall compatibility score, and various algorithms can be used to solve it, such as the Hungarian algorithm, genetic algorithm or simulated annealing algorithm. For relatively small-scale problems ( ), the Hungarian algorithm can obtain the optimal solution within milliseconds; for large-scale problems, the genetic algorithm or simulated annealing algorithm can be used to obtain an approximate optimal solution.

[0054] Step S3, based on the compatibility scores between our devices and each frequency band and the risk of the enemy occupying each spectrum, calculate the overall electromagnetic compatibility of the system.

[0055] Based on the compatibility scores between our devices and each frequency band and the risk of the enemy occupying each spectrum, calculate the overall electromagnetic compatibility of the system , and the calculation formula is: ; The enemy interference sensitivity coefficient is based on a large amount of combat experience data, indicating that even in the most severe cases, the enemy interference causes at most 30%-70% of the performance loss and retains a certain communication ability. Therefore, is set.

[0056] When more than half of our devices have the ability to hop frequencies, takes the value of 0.5; when the sum of the devices using direct sequence spread spectrum technology and conventional fixed-frequency devices in our devices accounts for more than half, takes the value of 0.7; otherwise, takes the value of 0.6.

[0057] The calculation result of the value is in the range of 0-1, and is divided according to the performance level: is excellent, indicating excellent electromagnetic compatibility; is good and suitable for most combat missions; is average and some spectrum allocations need to be adjusted;

[0058] Step S4, according to the changes in the real-time battlefield electromagnetic environment, regularly update the spectrum occupancy probability model according to the electromagnetic environment change threshold, and repeat steps S1 to S3 to realize the dynamic evaluation of multi-band electromagnetic compatibility in the combat scenario.

[0059] According to the changes in the real-time battlefield electromagnetic environment and in accordance with the electromagnetic environment change threshold The specific method for regularly updating the spectrum occupancy probability model is as follows:

[0060] Set the time interval for evaluating the spectrum occupancy probability distribution to , not greater than 10 minutes; calculate the divergence of the spectrum occupancy probability distributions of two adjacent evaluations : ; where and respectively represent the time moment and the time moment of the enemy's spectrum occupancy probability distribution; if , it is considered that the electromagnetic environment has changed significantly and a complete electromagnetic compatibility assessment process needs to be re-executed; otherwise, the previous evaluation result is adopted.

[0061] As Figure 2 shown, it is a schematic diagram of the composition of a multi-band electromagnetic compatibility assessment system in a combat scenario of the present invention. The system includes: an electromagnetic environment perception module, a spectrum occupancy analysis module, an electromagnetic compatibility assessment module, an electromagnetic environment change monitoring module, and an assessment result output module.

[0062] The electromagnetic environment perception module is used to collect battlefield electromagnetic environment information and monitor the spectrum occupancy status. In terms of hardware configuration, it may include a broadband receiver, a digital downconverter, a high-speed ADC, and an FPGA processing board, etc. The sensing device supports monitoring in the frequency band of 0.3 - 3000 MHz, covering the main military communication and radar frequency bands. In terms of deployment form, multiple schemes such as fixed, vehicle-mounted, or portable can be adopted to form a multi-level perception network. This module can not only implement the spectrum scanning function but also has the ability to extract signal features, and can identify key parameters such as modulation mode, bandwidth, and power.

[0063] To improve the sensitivity, digital noise reduction technology is adopted, and the minimum detectable signal power reaches -110 dBm. In terms of signal processing algorithms, combining fast Fourier transform (FFT) and wavelet analysis, double monitoring in the time-frequency domain is realized, and it has good capture ability for transient signals.

[0064] The spectrum occupancy analysis module is used to construct a spectrum occupancy probability model in a non-cooperative confrontation environment and calculate the enemy's spectrum occupancy probability distribution through the spectrum occupancy probability model. This module adopts a hierarchical processing architecture, including four functional units: data preprocessing, feature extraction, spectrum occupancy modeling, and probability inference. The data preprocessing unit performs denoising, outlier removal, and data normalization; the feature extraction unit analyzes the time-frequency domain characteristics of the signal and identifies potential spectrum usage patterns; the spectrum occupancy modeling unit implements a Bayesian inference framework and calculates the posterior probability distribution.

[0065] To improve processing efficiency, the module adopts GPU-accelerated computing and can simultaneously process the occupancy status analysis of up to 100 frequency bands. The module supports multiple prior knowledge import methods and can integrate intelligence information, historical data, and expert experience.

[0066] The electromagnetic compatibility evaluation module is used to establish a multi-band electromagnetic compatibility matrix. The elements of the multi-band electromagnetic compatibility matrix represent the compatibility between our equipment and each frequency band. The optimal spectrum allocation scheme is calculated based on the electromagnetic compatibility matrix using the dynamic spectrum allocation algorithm; and the overall electromagnetic compatibility of the system is calculated based on the compatibility scores between our equipment and each frequency band and the risk of each spectrum occupied by the enemy.

[0067] The electromagnetic environment change monitoring module is used to monitor the changes in the electromagnetic environment in real time and trigger a re-evaluation when the electromagnetic environment undergoes significant changes, that is When it triggers a re-evaluation. A multi-index fusion mechanism is adopted, which not only calculates the KL divergence but also combines multi-dimensional features such as the spectral energy change rate, signal type variability, and spatial distribution changes to improve the accuracy of change detection. To meet the requirements of different battlefield stages, the module supports three working modes: normal mode ( minutes), alert mode ( minutes), and emergency mode ( minutes), which can be switched manually or automatically adjusted by the system according to the battlefield intensity.

[0068] The evaluation result output module is used to present the electromagnetic compatibility evaluation result in a visual manner and provide compatibility evaluation data to the command and decision-making system.

[0069] The system also includes: a spectrum resource management module, which is used to perform dynamic allocation and adjustment of spectrum resources according to the electromagnetic compatibility evaluation result; a historical data analysis module, which is used to store and analyze historical electromagnetic environment data and compatibility evaluation results to provide prior knowledge for the spectrum occupancy probability model.

[0070] To reduce false alarms, the system also introduces an environmental change confirmation mechanism, which requires that two consecutive detections exceed the threshold to trigger a full re-evaluation, avoiding resource waste caused by instantaneous fluctuations, and predicting the trend of electromagnetic environment changes in the next 10 - 30 minutes based on time series analysis to provide a reference for forward-looking spectrum adjustment.

[0071] The above specific implementation manners further elaborate the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only the specific implementation manners of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multi-band electromagnetic compatibility evaluation method in a combat scenario, characterized in that The method includes the following steps: Step S1, construct a spectrum occupancy probability model in a non - cooperative confrontation environment, and calculate the enemy's spectrum occupancy probability distribution through the spectrum occupancy probability model. The spectrum occupancy probability distribution reflects the occupancy risk of the enemy for each frequency band; The expression of the spectrum occupancy probability model is as follows: , where represents the enemy spectrum occupancy probability distribution, represents the center frequency of the -th frequency band, , is the total number of frequency bands; represents the set of spectrum occupancy states observed at time; is the likelihood function, representing the probability of observing under the condition that the frequency band is occupied; is the prior probability, representing the probability that the frequency band is occupied by the enemy based on historical data; is the evidence factor, used to normalize the probability distribution; Step S2, establish a multi - band electromagnetic compatibility matrix. The elements of the multi - band electromagnetic compatibility matrix represent the compatibility between our equipment and each frequency band, and apply a dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation scheme based on the electromagnetic compatibility matrix; The compatibility between our equipment and each frequency band comprehensively considers the equipment signal quality index, interference intensity, and the enemy's spectrum occupancy probability; The optimal spectrum allocation scheme satisfies the constraint conditions that each frequency band is allocated to at most one device and each device is allocated at least one frequency band; Step S3, calculate the overall electromagnetic compatibility of the system based on the compatibility score between our equipment and each frequency band and the occupancy risk of each spectrum by the enemy; Step S4, according to the change of the real - time battlefield electromagnetic environment, regularly update the spectrum occupancy probability model according to the electromagnetic environment change threshold, and repeat steps S1 to S3 to realize the dynamic evaluation of multi - band electromagnetic compatibility in the combat scenario.

2. The multi-band electromagnetic compatibility evaluation method in a combat scenario according to claim 1, wherein The multi - band electromagnetic compatibility matrix is expressed as , where the matrix element represents the compatibility between our device and the frequency band . The calculation formula is: , where represents the signal quality index of device in the frequency band ; represents the interference intensity received by device in the frequency band ; , , are weight coefficients, and , ; The signal quality index has the following calculation formula: ; where is the signal-to-noise ratio of the device in the frequency band , is the reciprocal of the bit error rate of the device in the frequency band , is the reciprocal of the packet loss rate of the device in the frequency band . The calculation method of the interference intensity is as follows: ; where M is the total number of our devices, represents the transmission power of device in frequency band ; represents the mutual interference coefficient between frequency band and frequency band ; is the enemy interference threat coefficient, , indicating the threat degree of the enemy interference to our communication system; is a binary variable, taking values of 0 or 1, indicating whether to allocate frequency band to device : when , it means that frequency band has been allocated to device ; when , it means that frequency band has not been allocated to device .

3. The multi-band electromagnetic compatibility evaluation method in a combat scenario according to claim 2, wherein The said frequency band and the frequency band The mutual interference coefficient between is related to the frequency band interval and spectrum leakage, and its calculation formula is: , where is the frequency interval attenuation coefficient, and respectively represent the th frequency band and the th center frequency of the frequency band.

4. The multi-band electromagnetic compatibility evaluation method in a combat scenario according to claim 3, wherein Apply the dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation plan based on the electromagnetic compatibility matrix , where is a binary matrix, and the matrix element indicates whether it is allowed to allocate the frequency band to the device . When indicates that it is allowed to allocate the frequency band to the device . When indicates that the allocation operation is not allowed; The optimization objective of the optimal spectrum allocation scheme is as follows: , subject to the constraint conditions: , and .

5. A method for evaluating multi-band electromagnetic compatibility in a combat scenario according to claim 4, characterized in that, Calculate the overall electromagnetic compatibility of the system based on the compatibility scores of our equipment with each frequency band and the risk of enemy occupation of each spectrum , and the calculation formula is: ; is the enemy interference sensitivity coefficient, .

6. The multi-band electromagnetic compatibility evaluation method in a combat scenario according to claim 5, wherein When more than half of our devices have the ability to hop frequencies, Take the value of 0.5; when the sum of the devices using direct sequence spread spectrum technology and conventional fixed frequency devices in our devices accounts for more than half, Take the value of 0.7; otherwise, Take the value of 0.

6.

7. A method for multi-band electromagnetic compatibility evaluation in a combat scenario according to claim 6, characterized in that, According to the changes in the real-time battlefield electromagnetic environment and in accordance with the electromagnetic environment change threshold The specific method for regularly updating the spectrum occupancy probability model is as follows: Set the time interval for setting the evaluated spectrum occupancy probability distribution to be , not greater than 10 minutes; calculate the divergence of the spectrum occupancy probability distributions of two adjacent evaluations : ; where and respectively represent the time moment and the enemy's spectrum occupancy probability distribution at the time moment; If , it is considered that a significant change has occurred in the electromagnetic environment, and it is necessary to re-execute the complete electromagnetic compatibility assessment process; otherwise, the previous assessment result is adopted.

8. A multi-band electromagnetic compatibility evaluation system in a combat scenario, which is used to execute the method described in any one of claims 1-7, and is characterized in that, The system includes: an electromagnetic environment perception module, a spectrum occupancy analysis module, an electromagnetic compatibility evaluation module, an electromagnetic environment change monitoring module, and an evaluation result output module; The electromagnetic environment perception module is used to collect battlefield electromagnetic environment information and monitor the spectrum occupancy status; The spectrum occupancy analysis module is used to construct a spectrum occupancy probability model in a non - cooperative confrontation environment and calculate the enemy's spectrum occupancy probability distribution through the spectrum occupancy probability model; The electromagnetic compatibility evaluation module is used to establish a multi - band electromagnetic compatibility matrix. The elements of the multi - band electromagnetic compatibility matrix represent the compatibility between our equipment and each frequency band, apply a dynamic spectrum allocation algorithm to calculate the optimal spectrum allocation scheme based on the electromagnetic compatibility matrix; and calculate the overall electromagnetic compatibility of the system based on the compatibility score between our equipment and each frequency band and the occupancy risk of each spectrum by the enemy; The electromagnetic environment change monitoring module is used to monitor the changes in the electromagnetic environment in real time, and trigger a re-evaluation when there are significant changes in the electromagnetic environment, that is when triggered; The evaluation result output module is used to present the electromagnetic compatibility evaluation result in a visual way and provide compatibility evaluation data to the command and decision - making system.

9. The multi-band electromagnetic compatibility evaluation system in a combat scenario according to claim 8, characterized in that, The system further includes: A spectrum resource management module, which is used to perform dynamic allocation and adjustment of spectrum resources according to the electromagnetic compatibility evaluation result; A historical data analysis module, which is used to store and analyze historical electromagnetic environment data and compatibility evaluation results to provide prior knowledge for the spectrum occupancy probability model.

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