Wireless emergency communication transmission method and system for strong interference of environmental signals

Abstract

The invention discloses a wireless emergency communication transmission method and system for environmental signal strong interference, and relates to the technical field of wireless communication interference prevention, and the method comprises the steps: recognizing the type of an interference source when wireless emergency communication is interfered; constructing a corresponding game model based on the interference source type; in the game model, selecting an error rate as a utility function, and evaluating the effect of each anti-interference strategy based on the utility function; obtaining an anti-interference communication technology and a corresponding anti-interference strategy; an optimal anti-interference strategy is obtained by solving an equilibrium solution of the game model; the anti-interference strategy is optimized and adjusted in real time based on the real-time change of the communication requirement and the interference environment. By arranging the interference type identification module, the game model construction module, the equilibrium solution solving module and the strategy real-time optimization module, power strategy selection of the user is analyzed from the perspective of non-cooperative and cooperative games, and the performance level of wireless communication of the user is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communication anti-interference, and in particular to a wireless emergency communication transmission method and system for strong interference of environmental signals. Background Art

[0002] With the rapid development of communication technology, wireless communication has been widely used in various fields. Compared with wired communication, wireless communication, as the name implies, is not a communication method for signal transmission in a closed environment, but a communication method for signal transmission through radio waves in public spaces. It has the advantages of simple network layout, easy mobility, and convenient use, but it is easily interfered by the external environment, thus affecting the performance of the wireless communication system.

[0003] Most of the existing interference effect evaluation methods are aimed at specific interference methods or are based on interference detection feedback. However, the environment changes rapidly, and the accuracy of interference detection cannot be guaranteed. Moreover, with the rapid development of science and technology, the communication mechanism of the communicating party and the interference method of the interfering party can change at any time. The interfering party cannot know how the communicating party will change the communication mechanism, and the communicating party cannot obtain information about what interference method the interfering party will adopt. Therefore, the effectiveness of the existing interference effect evaluation methods in practical applications is greatly reduced, and it is necessary to find a more suitable method for interference effect evaluation analysis. Summary of the invention

[0004] In order to solve the above technical problems, a wireless emergency communication transmission method and system for strong interference of environmental signals are provided. This technical solution solves the problems raised in the above background technology.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A wireless emergency communication transmission method for strong interference of environmental signals, comprising: When wireless emergency communications encounter interference, identify the type of interference source and take anti-interference measures corresponding to the type of interference source, wherein the type of interference source includes unintentional interference and malicious interference; Based on the type of interference source, build the corresponding game model; For interference sources of unintentional interference type, a non-cooperative game model is used to analyze power control and resource allocation among users; For malicious interference sources, a non-cooperative zero-sum game model is used to dynamically evaluate interference countermeasures; In the game model, the bit error rate is selected as the utility function, and the effect of each anti-interference strategy is evaluated based on the utility function; Acquire anti-interference communication technology and corresponding anti-interference strategy, wherein the anti-interference communication technology includes spread spectrum communication technology, adaptive antenna technology and adaptive interference suppression filter; By solving the equilibrium solution of the game model, the optimal anti-interference strategy is obtained; Based on the real-time changes in communication requirements and interference environment, anti-interference strategies are optimized and adjusted in real time.

[0006] Preferably, when the wireless emergency communication encounters interference, identifying the type of interference source and taking anti-interference measures corresponding to the type of interference source specifically include: Use an omnidirectional antenna to perform spectrum scanning on the target frequency band of the interference signal and record the spectrum characteristics of the interference signal; Observe and determine whether abnormal broadband noise, harmonic components or stray radiation appear on the spectrum of the interference signal. If so, output that the interference source of the interference signal is unintentional interference. If not, no output is made. Determining a frequency range of the interference signal, wherein the frequency range includes a center frequency and a bandwidth; Measure the power spectrum density of the interference signal to obtain the distribution of the interference signal on the spectrum; Based on the measured spectrum characteristics, frequency range and power spectrum density of the interference signal, the interference source type of the interference signal is judged by comparing with the corresponding parameter values ​​in the historical interference signal database; Take anti-interference measures appropriate to the type of interference source.

[0007] Preferably, the use of a non-cooperative game model to analyze power control and resource allocation between users for interference sources of the unintentional interference type specifically includes: In wireless emergency communications, unintentional interference refers to the interference signal caused by other users to the current user when competing for limited spectrum resources; The participants in the non-cooperative game model are the users in the distributed communication system; The action set in the non-cooperative game model is constructed as the transmission power level of each user in the distributed communication system; The utility function in the non-cooperative game model is constructed as an indicator for measuring the performance of each user; The strategy in constructing the non-cooperative game model is that each user selects the transmission power according to the principle of maximizing its own utility function.

[0008] Preferably, the use of a non-cooperative zero-sum game model to dynamically evaluate interference countermeasures against malicious interference sources specifically includes: The two participants in the non-cooperative zero-sum game model are identified as the communicating party and the interfering party; Define the action strategy sets of the communicating party and the interfering party in the non-cooperative zero-sum game model; The strategy set of the communicating parties is defined as each anti-interference communication technique; The strategy set of the jammer is defined as each jamming technique, wherein the jamming technique includes broadband noise jamming, partial band noise jamming, multi-tone jamming and single-tone jamming; In the non-cooperative zero-sum game model, the utility function is used to measure the gains and losses of both parties in the game.

[0009] Preferably, in the game model, the bit error rate is selected as the utility function, and the effect of each anti-interference strategy is evaluated based on the utility function, which specifically includes: In a wireless communication system, an analog transmitter encodes information into at least one symbol and sends it to an analog receiver through a channel; After receiving at least one code element, the analog receiving end decodes it to recover the original information; The simulated receiving end detects the number of error symbols by comparing the received symbols with the symbol sequence actually sent by the simulated sending end; Determine whether the code element received by the simulated receiving end is inconsistent with the original code element sent by the simulated sending end. If so, output the code element as an error code element. If not, do not output it. Counting the number of error symbols detected by the simulated receiving end within a communication session, and counting the total number of symbols received by the simulated receiving end within the same period of time; The output bit error rate is the ratio of the number of error symbols to the total number of symbols, and is expressed as a percentage; The bit error rate is selected as the utility function to evaluate the effect of each anti-interference strategy, and the corresponding bit error rate is calculated for all strategy combinations of the communicating party and the interfering party; The utility value matrix of the game model is constructed as a two-dimensional table by taking the strategies of the communicating party as rows and the strategies of the interfering party as columns; Fill in the bit error rate value under the corresponding strategy combination in each cell; By analyzing the utility value matrix of the game model, the benefits of both parties under different strategy combinations are obtained.

[0010] Preferably, the acquisition of anti-interference communication technology and corresponding anti-interference strategy specifically includes: Spread spectrum communication technology includes direct sequence spread spectrum, frequency hopping spread spectrum and time hopping spread spectrum technology; Direct sequence spread spectrum technology uses pseudo-random sequences to expand the bandwidth of RF signals, reducing the probability of jammer detection and counteracting interference in communications in a covert manner; In frequency hopping spread spectrum technology, the transmitting frequency of the communicating party changes continuously according to a preset rule, so that the interfering party cannot accurately interfere with the transmitting frequency of the communicating party; Time-hopping spread spectrum technology uses time allocation to avoid interference signals by sending signals that jump on the time axis; Adaptive antennas are used to dynamically adjust the antenna's directivity and gain to suppress interference signals from specific directions; The parameters of the adaptive interference suppression filter are adjusted through an adaptive algorithm to maintain the reception of useful signals and suppress interference signals.

[0011] Preferably, the method of obtaining the optimal anti-interference strategy by solving the equilibrium solution of the game model specifically includes: The pure strategy Nash equilibrium solution is that both parties in the game choose a strategy that makes their own strategy optimal under the given opponent's strategy; The mixed strategy Nash equilibrium is that both parties in the game choose their own strategies with a preset probability to maximize the expected utility. Check and determine whether there is a pure strategy Nash equilibrium solution. If so, output the optimal anti-interference strategy corresponding to the pure strategy Nash equilibrium solution. If not, by solving the mixed strategy Nash equilibrium, the optimal anti-interference strategy and interference strategy under different interference environments can be obtained.

[0012] Furthermore, a wireless emergency communication transmission system for strong interference of environmental signals is proposed, which is used to implement the wireless emergency communication transmission method for strong interference of environmental signals as described above, including: An interference type identification module, which is used to identify the type of interference source when wireless emergency communication encounters interference, and take anti-interference measures corresponding to the type of interference source; A game model construction module, wherein the game model construction module is used to construct a corresponding game model based on the type of interference source, use a non-cooperative game model to analyze power control and resource allocation between users for interference sources of unintentional interference type, use a non-cooperative zero-sum game model to dynamically evaluate interference confrontation for interference sources of malicious interference type, select the bit error rate as the utility function in the game model, and evaluate the effect of each anti-interference strategy based on the utility function, and obtain anti-interference communication technology and corresponding anti-interference strategy; An equilibrium solution solving module, wherein the equilibrium solution solving module is used to obtain an optimal anti-interference strategy by solving an equilibrium solution of a game model; A real-time strategy optimization module is used to optimize and adjust the anti-interference strategy in real time based on real-time changes in communication requirements and interference environment.

[0013] Optionally, the game model construction module specifically includes: A model building unit, the model building unit is used to build a corresponding game model based on the type of interference source; An unintentional interference unit, the unintentional interference unit is used to analyze power control and resource allocation between users using a non-cooperative game model for interference sources of the unintentional interference type; A malicious interference unit, wherein the malicious interference unit is used to dynamically evaluate interference confrontation using a non-cooperative zero-sum game model for interference sources of malicious interference type; An effect evaluation unit, the effect evaluation unit is used to select the bit error rate as the utility function in the game model, and evaluate the effect of each anti-interference strategy based on the utility function; A strategy acquisition unit, wherein the strategy acquisition unit is used to acquire an anti-interference communication technology and a corresponding anti-interference strategy.

[0014] Compared with the prior art, the present invention has the following beneficial effects: From the perspectives of non-cooperative and cooperative games, the user's power strategy selection is analyzed to improve the performance level of user wireless communication. The interference confrontation effect evaluation model constructed with game theory ideas, the obtained equilibrium solution is also the optimal solution acceptable to both parties in the confrontation, which has guiding significance for the decision maker's strategy selection. When the other party's action information is unknown, the entire decision-making process can be predicted and analyzed, and the strategy that maximizes its own interests can be selected. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the wireless emergency communication transmission method for strong interference of environmental signals of the present invention; Figure 2 A flow chart of a method for identifying the type of interference source when wireless emergency communication encounters interference according to the present invention; Figure 3 A flow chart of a method for analyzing power control and resource allocation between users using a non-cooperative game model for interference sources of unintentional interference type according to the present invention; Figure 4 This is a flow chart of a method for dynamically evaluating interference countermeasures using a non-cooperative zero-sum game model for interference sources of malicious interference type according to the present invention; Figure 5 It is a flow chart of the method for evaluating the effect of each anti-interference strategy based on the utility function of the present invention; Figure 6 The anti-interference communication technology and the corresponding anti-interference strategy diagram of the present invention are obtained; Figure 7 The present invention provides a flow chart of a method for obtaining an optimal anti-interference strategy by solving an equilibrium solution of a game model. DETAILED DESCRIPTION

[0016] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0017] Reference Figure 1 As shown, a wireless emergency communication transmission method for strong interference of environmental signals includes: When wireless emergency communications encounter interference, identify the type of interference source and take anti-interference measures corresponding to the type of interference source, wherein the type of interference source includes unintentional interference and malicious interference; Based on the type of interference source, build the corresponding game model; For interference sources of unintentional interference type, a non-cooperative game model is used to analyze power control and resource allocation among users; For malicious interference sources, a non-cooperative zero-sum game model is used to dynamically evaluate interference countermeasures; In the game model, the bit error rate is selected as the utility function, and the effect of each anti-interference strategy is evaluated based on the utility function; Acquire anti-interference communication technology and corresponding anti-interference strategy, wherein the anti-interference communication technology includes spread spectrum communication technology, adaptive antenna technology and adaptive interference suppression filter; By solving the equilibrium solution of the game model, the optimal anti-interference strategy is obtained; Based on the real-time changes in communication requirements and interference environment, anti-interference strategies are optimized and adjusted in real time.

[0018] Reference Figure 2 As shown, when wireless emergency communications encounter interference, the type of interference source is identified, and anti-interference measures corresponding to the type of interference source are taken, including: Use an omnidirectional antenna to perform spectrum scanning on the target frequency band of the interference signal and record the spectrum characteristics of the interference signal; Observe and determine whether abnormal broadband noise, harmonic components or stray radiation appear on the spectrum of the interference signal. If so, output that the interference source of the interference signal is unintentional interference. If not, no output is made. Determining a frequency range of the interference signal, wherein the frequency range includes a center frequency and a bandwidth; Measure the power spectrum density of the interference signal to obtain the distribution of the interference signal on the spectrum; Based on the measured spectrum characteristics, frequency range and power spectrum density of the interference signal, the interference source type of the interference signal is judged by comparing with the corresponding parameter values ​​in the historical interference signal database; Take anti-interference measures appropriate to the type of interference source.

[0019] Abnormal broadband noise usually manifests itself as continuous, wider spectrum occupancy; harmonic components are signals located at integer multiples of the fundamental frequency; spurious radiation is a small signal randomly distributed on the spectrum. If the above abnormal characteristics are found, the interference source is preliminarily judged to be unintentional interference, such as equipment failure, natural noise, etc.

[0020] Reference Figure 3As shown in FIG. 1 , for interference sources of unintentional interference type, a non-cooperative game model is used to analyze power control and resource allocation among users, specifically including: In wireless emergency communications, unintentional interference refers to the interference signal caused by other users to the current user when competing for limited spectrum resources; The participants in the non-cooperative game model are the users in the distributed communication system; The action set in the non-cooperative game model is constructed as the transmission power level of each user in the distributed communication system; The utility function in the non-cooperative game model is constructed as an indicator for measuring the performance of each user; The strategy in constructing the non-cooperative game model is that each user selects the transmission power according to the principle of maximizing its own utility function.

[0021] In civil communications, most of the interference encountered is unintentional interference between different users or between different base stations. Due to the scarcity of spectrum resources, users compete for limited spectrum resources to meet their own increasing communication needs. Interference is inevitable. The generation of interference will reduce the signal-to-noise ratio of the interfered user, thereby affecting its communication performance.

[0022] Reference Figure 4 As shown in the figure, for malicious interference sources, a non-cooperative zero-sum game model is used to dynamically evaluate interference confrontation, including: The two participants in the non-cooperative zero-sum game model are identified as the communicating party and the interfering party; Define the action strategy sets of the communicating party and the interfering party in the non-cooperative zero-sum game model; The strategy set of the communicating parties is defined as each anti-interference communication technique; The strategy set of the jammer is defined as each jamming technique, wherein the jamming technique includes broadband noise jamming, partial band noise jamming, multi-tone jamming and single-tone jamming; In the non-cooperative zero-sum game model, the utility function is used to measure the gains and losses of both parties in the game.

[0023] Malicious interference mainly exists in military communication scenarios. It will intercept, monitor and confront enemy communications, thereby hindering communication transmission and even causing the end of communication. Interference assessment is an important performance indicator to measure the effect of electronic warfare confrontation. Through the quantitative analysis of interference confrontation methods, it plays a very important guiding role in the design of electronic warfare experiments, actual combat applications and even the development of communication confrontation equipment.

[0024] Reference Figure 5 As shown, in the game model, the bit error rate is selected as the utility function, and the effects of various anti-interference strategies are evaluated based on the utility function, including: In a wireless communication system, an analog transmitter encodes information into at least one symbol and sends it to an analog receiver through a channel; After receiving at least one code element, the analog receiving end decodes it to recover the original information; The simulated receiving end detects the number of error symbols by comparing the received symbols with the symbol sequence actually sent by the simulated sending end; Determine whether the code element received by the simulated receiving end is inconsistent with the original code element sent by the simulated sending end. If so, output the code element as an error code element. If not, do not output it. Counting the number of error symbols detected by the simulated receiving end within a communication session, and counting the total number of symbols received by the simulated receiving end within the same period of time; The output bit error rate is the ratio of the number of error symbols to the total number of symbols, and is expressed as a percentage; The bit error rate is selected as the utility function to evaluate the effect of each anti-interference strategy, and the corresponding bit error rate is calculated for all strategy combinations of the communicating party and the interfering party; The utility value matrix of the game model is constructed as a two-dimensional table by taking the strategies of the communicating party as rows and the strategies of the interfering party as columns; Fill in the bit error rate value under the corresponding strategy combination in each cell; By analyzing the utility value matrix of the game model, the benefits of both parties under different strategy combinations are obtained.

[0025] By analyzing the utility value matrix, we can obtain the benefits of both parties under different strategy combinations. A low bit error rate indicates high communication quality, which is beneficial to the communicating party; a high bit error rate may mean that the interference strategy is effective, which is beneficial to the interfering party.

[0026] Reference Figure 6 As shown, obtaining anti-interference communication technology and corresponding anti-interference strategies specifically include: Spread spectrum communication technology includes direct sequence spread spectrum, frequency hopping spread spectrum and time hopping spread spectrum technology; Direct sequence spread spectrum technology uses pseudo-random sequences to expand the bandwidth of RF signals, reducing the probability of jammer detection and counteracting interference in communications in a covert manner; In frequency hopping spread spectrum technology, the transmitting frequency of the communicating party changes continuously according to a preset rule, so that the interfering party cannot accurately interfere with the transmitting frequency of the communicating party; Time-hopping spread spectrum technology uses time allocation to avoid interference signals by sending signals that jump on the time axis; Adaptive antennas are used to dynamically adjust the antenna's directivity and gain to suppress interference signals from specific directions; The parameters of the adaptive interference suppression filter are adjusted through an adaptive algorithm to maintain the reception of useful signals and suppress interference signals.

[0027] The adaptive interference suppression filter dynamically adjusts its filter coefficients so that the output signal of the filter can be as close to the desired signal as possible while suppressing the interference signal. Its working principle is based on adaptive algorithms, such as the minimum mean square error algorithm, the recursive least squares algorithm, etc. These algorithms can update the filter coefficients according to the error between the input signal and the desired signal.

[0028] Reference Figure 7 As shown in the figure, by solving the equilibrium solution of the game model, the optimal anti-interference strategy is obtained, which specifically includes: The pure strategy Nash equilibrium solution is that both parties in the game choose a strategy that makes their own strategy optimal under the given opponent's strategy; The mixed strategy Nash equilibrium is that both parties in the game choose their own strategies with a preset probability to maximize the expected utility. Check and determine whether there is a pure strategy Nash equilibrium solution. If so, output the optimal anti-interference strategy corresponding to the pure strategy Nash equilibrium solution. If not, by solving the mixed strategy Nash equilibrium, the optimal anti-interference strategy and interference strategy under different interference environments can be obtained.

[0029] Nash equilibrium refers to a conceptual solution in which, in a non-cooperative game involving two or more participants, no participant can benefit by changing his or her own strategy, assuming that each participant knows the equilibrium strategy of other participants. Simply put, if a strategy combination is a Nash equilibrium, then for each participant, given the strategies of other participants, the strategy he or she chooses is the best, and he or she has no motivation to change his or her own strategy.

[0030] Further, based on the same inventive concept as the above-mentioned wireless emergency communication transmission method for strong interference of environmental signals, the present solution also proposes a wireless emergency communication transmission system for strong interference of environmental signals, comprising: An interference type identification module, which is used to identify the type of interference source when wireless emergency communication encounters interference, and take anti-interference measures corresponding to the type of interference source; A game model construction module, wherein the game model construction module is used to construct a corresponding game model based on the type of interference source, use a non-cooperative game model to analyze power control and resource allocation between users for interference sources of unintentional interference type, use a non-cooperative zero-sum game model to dynamically evaluate interference confrontation for interference sources of malicious interference type, select the bit error rate as the utility function in the game model, and evaluate the effect of each anti-interference strategy based on the utility function, and obtain anti-interference communication technology and corresponding anti-interference strategy; An equilibrium solution solving module, wherein the equilibrium solution solving module is used to obtain an optimal anti-interference strategy by solving an equilibrium solution of a game model; A real-time strategy optimization module is used to optimize and adjust the anti-interference strategy in real time based on real-time changes in communication requirements and interference environment.

[0031] The game model construction module specifically includes: A model building unit, the model building unit is used to build a corresponding game model based on the type of interference source; An unintentional interference unit, the unintentional interference unit is used to analyze power control and resource allocation between users using a non-cooperative game model for interference sources of the unintentional interference type; A malicious interference unit, wherein the malicious interference unit is used to dynamically evaluate interference confrontation using a non-cooperative zero-sum game model for interference sources of malicious interference type; An effect evaluation unit, the effect evaluation unit is used to select the bit error rate as the utility function in the game model, and evaluate the effect of each anti-interference strategy based on the utility function; A strategy acquisition unit, wherein the strategy acquisition unit is used to acquire an anti-interference communication technology and a corresponding anti-interference strategy.

[0032] Furthermore, the present solution also proposes a computer-readable storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned wireless emergency communication transmission method for strong interference of environmental signals is executed.

[0033] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0034] In summary, the advantages of the present invention are: the power strategy selection of users is analyzed from the perspectives of non-cooperative and cooperative games, the performance level of user wireless communication is improved, and the interference confrontation effect evaluation model constructed with game theory ideas, the obtained equilibrium solution is also the optimal solution acceptable to both parties in the confrontation, and it has guiding significance for the strategy selection of decision makers. When the action information of the other party is unknown, the entire decision-making process can be predicted and analyzed, and the strategy that maximizes its own interests can be selected.

[0035] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A wireless emergency communication transmission method for strong interference of environmental signals, characterized in that: include: When wireless emergency communications encounter interference, identify the type of interference source and take anti-interference measures corresponding to the type of interference source, wherein the type of interference source includes unintentional interference and malicious interference; Based on the type of interference source, build the corresponding game model; For interference sources of unintentional interference type, a non-cooperative game model is used to analyze power control and resource allocation among users; For malicious interference sources, a non-cooperative zero-sum game model is used to dynamically evaluate interference countermeasures; In the game model, the bit error rate is selected as the utility function, and the effect of each anti-interference strategy is evaluated based on the utility function; Acquire anti-interference communication technology and corresponding anti-interference strategy, wherein the anti-interference communication technology includes spread spectrum communication technology, adaptive antenna technology and adaptive interference suppression filter; By solving the equilibrium solution of the game model, the optimal anti-interference strategy is obtained; Based on the real-time changes in communication requirements and interference environment, anti-interference strategies are optimized and adjusted in real time.

2. A wireless emergency communication transmission method for strong interference of environmental signals according to claim 1, characterized in that: When the wireless emergency communication encounters interference, identifying the type of interference source and taking anti-interference measures corresponding to the type of interference source specifically include: Use an omnidirectional antenna to perform spectrum scanning on the target frequency band of the interference signal and record the spectrum characteristics of the interference signal; Observe and determine whether abnormal broadband noise, harmonic components or stray radiation appear on the spectrum of the interference signal. If so, output that the interference source of the interference signal is unintentional interference. If not, no output is made. Determining a frequency range of the interference signal, wherein the frequency range includes a center frequency and a bandwidth; Measure the power spectrum density of the interference signal to obtain the distribution of the interference signal on the spectrum; Based on the measured spectrum characteristics, frequency range and power spectrum density of the interference signal, the interference source type of the interference signal is judged by comparing with the corresponding parameter values ​​in the historical interference signal database; Take anti-interference measures appropriate to the type of interference source.

3. A wireless emergency communication transmission method for strong interference of environmental signals according to claim 2, characterized in that: The non-cooperative game model is used to analyze the power control and resource allocation between users for the interference source of the unintentional interference type, specifically including: In wireless emergency communications, unintentional interference refers to the interference signal caused by other users to the current user when competing for limited spectrum resources; The participants in the non-cooperative game model are the users in the distributed communication system; The action set in the non-cooperative game model is constructed as the transmission power level of each user in the distributed communication system; The utility function in the non-cooperative game model is constructed as an indicator for measuring the performance of each user; The strategy in constructing the non-cooperative game model is that each user selects the transmission power according to the principle of maximizing its own utility function.

4. A wireless emergency communication transmission method for strong interference of environmental signals according to claim 3, characterized in that: The non-cooperative zero-sum game model is used to dynamically evaluate interference confrontation for malicious interference sources, specifically including: The two participants in the non-cooperative zero-sum game model are identified as the communicating party and the interfering party; Define the action strategy sets of the communicating party and the interfering party in the non-cooperative zero-sum game model; The strategy set of the communicating parties is defined as each anti-interference communication technique; The strategy set of the jammer is defined as each jamming technique, wherein the jamming technique includes broadband noise jamming, partial band noise jamming, multi-tone jamming and single-tone jamming; In the non-cooperative zero-sum game model, the utility function is used to measure the gains and losses of both parties in the game.

5. A wireless emergency communication transmission method for strong interference of environmental signals according to claim 4, characterized in that: In the game model, the bit error rate is selected as the utility function, and the effects of each anti-interference strategy are evaluated based on the utility function, specifically including: In a wireless communication system, an analog transmitter encodes information into at least one symbol and sends it to an analog receiver through a channel; After receiving at least one code element, the analog receiving end decodes it to recover the original information; The simulated receiving end detects the number of error symbols by comparing the received symbols with the symbol sequence actually sent by the simulated sending end; Determine whether the code element received by the simulated receiving end is inconsistent with the original code element sent by the simulated sending end. If so, output the code element as an error code element. If not, do not output it. Counting the number of error symbols detected by the simulated receiving end within a communication session, and counting the total number of symbols received by the simulated receiving end within the same period of time; The output bit error rate is the ratio of the number of error symbols to the total number of symbols, and is expressed as a percentage; The bit error rate is selected as the utility function to evaluate the effect of each anti-interference strategy, and the corresponding bit error rate is calculated for all strategy combinations of the communicating party and the interfering party; The utility value matrix of the game model is constructed as a two-dimensional table by taking the strategies of the communicating party as rows and the strategies of the interfering party as columns; Fill in the bit error rate value under the corresponding strategy combination in each cell; By analyzing the utility value matrix of the game model, the benefits of both parties under different strategy combinations are obtained.

6. A wireless emergency communication transmission method for strong interference of environmental signals according to claim 5, characterized in that: The acquisition of anti-interference communication technology and corresponding anti-interference strategy specifically includes: Spread spectrum communication technology includes direct sequence spread spectrum, frequency hopping spread spectrum and time hopping spread spectrum technology; Direct sequence spread spectrum technology uses pseudo-random sequences to expand the bandwidth of RF signals, reducing the probability of jammer detection and counteracting interference in communications in a covert manner; In frequency hopping spread spectrum technology, the transmitting frequency of the communicating party changes continuously according to a preset rule, so that the interfering party cannot accurately interfere with the transmitting frequency of the communicating party; Time-hopping spread spectrum technology uses time allocation to avoid interference signals by sending signals that jump on the time axis; Adaptive antennas are used to dynamically adjust the antenna's directivity and gain to suppress interference signals from specific directions; The parameters of the adaptive interference suppression filter are adjusted through an adaptive algorithm to maintain the reception of useful signals and suppress interference signals.

7. A wireless emergency communication transmission method for strong interference of environmental signals according to claim 6, characterized in that: The method of obtaining the optimal anti-interference strategy by solving the equilibrium solution of the game model specifically includes: The pure strategy Nash equilibrium solution is that both parties in the game choose a strategy that makes their own strategy optimal under the given opponent's strategy; The mixed strategy Nash equilibrium is that both parties in the game choose their own strategies with a preset probability to maximize the expected utility. Check and determine whether there is a pure strategy Nash equilibrium solution. If so, output the optimal anti-interference strategy corresponding to the pure strategy Nash equilibrium solution. If not, by solving the mixed strategy Nash equilibrium, the optimal anti-interference strategy and interference strategy under different interference environments can be obtained.

8. A wireless emergency communication transmission system for strong interference of environmental signals, used to implement the wireless emergency communication transmission method for strong interference of environmental signals as described in any one of claims 1 to 7, characterized in that: include: An interference type identification module, which is used to identify the type of interference source when wireless emergency communication encounters interference, and take anti-interference measures corresponding to the type of interference source; A game model construction module, wherein the game model construction module is used to construct a corresponding game model based on the type of interference source, use a non-cooperative game model to analyze power control and resource allocation between users for interference sources of unintentional interference type, use a non-cooperative zero-sum game model to dynamically evaluate interference confrontation for interference sources of malicious interference type, select the bit error rate as the utility function in the game model, and evaluate the effect of each anti-interference strategy based on the utility function, and obtain anti-interference communication technology and corresponding anti-interference strategy; An equilibrium solution solving module, wherein the equilibrium solution solving module is used to obtain an optimal anti-interference strategy by solving an equilibrium solution of a game model; A real-time strategy optimization module is used to optimize and adjust the anti-interference strategy in real time based on real-time changes in communication requirements and interference environment.

9. A wireless emergency communication transmission system for strong interference of environmental signals according to claim 8, characterized in that: The game model construction module specifically includes: A model building unit, the model building unit is used to build a corresponding game model based on the type of interference source; An unintentional interference unit, the unintentional interference unit is used to analyze power control and resource allocation between users using a non-cooperative game model for interference sources of the unintentional interference type; A malicious interference unit, wherein the malicious interference unit is used to dynamically evaluate interference confrontation using a non-cooperative zero-sum game model for interference sources of malicious interference type; An effect evaluation unit, the effect evaluation unit is used to select the bit error rate as the utility function in the game model, and evaluate the effect of each anti-interference strategy based on the utility function; A strategy acquisition unit, wherein the strategy acquisition unit is used to acquire an anti-interference communication technology and a corresponding anti-interference strategy.

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