A decision-making method and system based on communication system

Abstract

The invention discloses a decision-making method based on a communication system, and the method comprises the following steps: step one: constructing an interference decision-making scheme for a single communication in a wireless communication system; step two: constructing an interference decision-making scheme for multiple communications in a wireless communication system; step three: testing the current anti-interference effect of the communication system based on the single communication interference decision and the multiple communication interference decision; step four: feeding back the efficiency of the single communication and multiple communication interference decision schemes set in the communication system according to the tested interference effect; by utilizing interference control to interact with the single communication and multiple communication environments in the communication system in a trial-and-error manner, and judging the interference effect of the current strategy from the obtained feedback information, and then determining the next interference strategy according to relevant algorithms or rules, it is possible to truly achieve effective and reliable interference. The invention has the characteristics of improving the interference test effect of communication decisions and optimizing interference decisions.

Description

Technical Field

[0001] The present invention relates to the technical field of communication decision making, and in particular to a decision making method and system based on a communication system. Background Art

[0002] Due to its unique openness, wireless communication systems are extremely susceptible to various intentional and unintentional interferences. Therefore, in existing communication systems, the communication capabilities of communication systems are tested by making interference decisions. In the single communication decision model of the existing wireless system, the intelligent multi-domain anti-interference decision has too large a decision space caused by multiple domains, and the optimal communication parameters cannot be obtained within a limited time. There are problems such as slow convergence speed and poor robustness. In the multiple communication decision model, the interference environment of each time slot will also change, and the duration of each time slot is very short. The communication interference decision and performance evaluation method based on this relies on expert experience and prior knowledge, and has problems such as long interference confrontation interaction time and low interference efficiency. To a certain extent, it is difficult to apply to different wireless communication environments with high real-time requirements. Therefore, it is very necessary to design a decision method and system based on the communication system to improve the interference test effect of communication decision and optimize interference decision. Summary of the invention

[0003] The object of the present invention is to provide a decision-making method and system based on a communication system to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a decision-making method based on a communication system, comprising the following steps:

[0005] Step 1: Construct an interference decision scheme for a single communication in a wireless communication system;

[0006] Step 2: Construct an interference decision scheme for multiple communications in a wireless communication system;

[0007] Step 3: Based on single communication interference decision and multiple communication interference decision, test the current anti-interference effect of the communication system;

[0008] Step 4: Feedback the efficiency of the single communication and multiple communication interference decision-making schemes set in the communication system based on the interference effect of the test.

[0009] According to the above technical solution, the specific steps of constructing an interference decision scheme for a single communication in a wireless communication system include:

[0010] Step 11: In the single communication interference model, the interference control machine transmits an interference signal to interfere with the signal received by the communication receiver, so that the information obtained after decoding is erroneous and normal communication cannot continue;

[0011] Step 12: Construct an interference action selection strategy for the interference control machine when facing the unknown communication state of the interfered party. In the interference action selection strategy, the interference knowledge base is modeled, and the interference action is recommended based on the interference knowledge base. The algorithm is used to obtain effective interference actions in a shorter iteration cycle.

[0012] Step 13: By interacting with the communication environment, continuously obtain feedback from the communication environment, take maximizing the cumulative feedback value as the optimization goal, and estimate the feedback expectation that can be obtained by taking each action;

[0013] Step 14: Select the action that can obtain the maximum expected feedback value. In the scenario of single communication interference, the feedback value is the bit error rate after the interfered receiver demodulates the signal. The jammer can estimate the bit error rate by observing the exchange between the communication transmitter and the receiver.

[0014] According to the above technical solution, the interference decision of multiple communications in the communication system includes:

[0015] Multiple jammers are used to collaboratively make interference decisions. By designating one of the jammers as the control center for interference decision-making, the control center is used to obtain signal information in multiple communication environments in the communication system from the distributed controlled jammers. Various optimized genetic algorithms and ant colony algorithms are used to achieve the optimal configuration of interference resources. Multi-agent reinforcement learning algorithms are used for collaborative interference decision-making of multiple jammers. By interacting with multiple communication environments, an interference strategy scheme for multiple communications in a wireless communication system is constructed.

[0016] According to the above technical solution, the specific method steps for constructing the interference decision scheme for multiple communications include:

[0017] Step 21: During the initialization phase of interference decision making for multiple communications in the wireless communication system, the interference control center randomly groups the nodes in the communication network in each interference cycle, and then selects each group of nodes for interference in turn;

[0018] Step 22: When facing multiple communications with unknown topology, the jammer system interacts with the communication network continuously, and then the jammer center randomly selects nodes for jamming, and continuously increases the jamming history data;

[0019] Step 23: Collect interference actions in multiple communication environments, record feedback information of communication topology networking, establish and update the interference history database, and converge it to a better interference decision;

[0020] Step 24: Based on the interference history data, the importance knowledge of the communication networking nodes is mined, and the knowledge previously recorded by the interference knowledge terminal is updated, and the importance knowledge of the communication networking nodes hidden in the interference history data is also mined simultaneously;

[0021] Step 25: Finally, a knowledge strategy for collaborative decision-making of multiple jammers is constructed based on the mined knowledge graph. According to the constructed strategy, the interference control center is guided to iteratively select the optimal communication networking node combination for further interference, thereby optimizing the interference decision-making scheme for multiple communications in the wireless communication system.

[0022] According to the above technical solution, the method steps for testing the current anti-interference effect of the communication system include:

[0023] Step 31: Use a communication node with a sensing function in the communication system to sense the interference environment, determine whether the current interference environment is a single communication environment or a multiple communication environment, and obtain decision information on the interference type and interference power in the corresponding communication environment;

[0024] Step 32: using a decision node with decision-making function in the communication system to make a decision on the interference suppression method through sensing information, and in the decision scheme, selecting different interference decision methods according to different interference types;

[0025] Step 33: When the communication system is working, the system monitors the interference in the communication channel in real time. After detecting the interference signal, the system identifies the interference signal and estimates the center frequency and bandwidth of the interference signal using a related algorithm. Then, the frequency points with interference are removed from the frequency hopping pattern of the communication system.

[0026] Step 34: During a single communication of the wireless communication system, the interference recognition technology is used to detect and identify the current interference type and parameters, and a corresponding interference decision is made according to the established criteria to adjust the communication frequency, power and coding parameters;

[0027] Step 35: When there is frequency domain interference such as multi-tone and partial band interference in the working frequency band, a frequency domain interference suppression test is performed; when there is interference such as linear frequency modulation and noise frequency modulation in the working frequency band, an interference reconstruction and cancellation test is performed; when there is time domain interference such as pulse interference in the working frequency band, a time domain interference suppression test is performed;

[0028] Step 36: Based on the expert knowledge base in the communication system, the communication benefit matrix is ​​calculated in real time. Based on the benefit matrix of the interfering party and the communicating party in single communication and multiple communications when the strategies of the interfering party are unknown, the benefit of each interference strategy is obtained by solving the benefit matrix, and the benefit is used as the interference effect evaluation result.

[0029] According to the above technical solution, the step of providing feedback on the efficiency of the single communication and multiple communication interference decision schemes set in the communication system includes:

[0030] The interference control center interacts with the single communication and multiple communication environments in the communication system through trial and error, and judges the interference effect of the current strategy from the feedback information obtained, and then determines the next interference strategy based on relevant algorithms or rules;

[0031] The interference control center intercepts the transmission signal of the communication party for feature analysis, extracts multiple features of the transmission signal for online evaluation of the interference effectiveness, and uses the effectiveness evaluation results as rewards for learning. The interference control center selects an interference strategy composed of multi-dimensional parameters, and based on several interference data, forms an interference signal to interfere with the communication parties in the communication system, evaluates the degree to which the communication parties in the communication system are affected by the interference, and uses the maximum and minimum strategies to calculate the minimum benefits of the interference strategies adopted by the single communication party and the multiple communication party in the communication system, and obtains the anti-interference effect produced by the communication system.

[0032] According to the above technical solution, the decision-making system includes:

[0033] An interference decision scheme module, used to construct an interference decision scheme for a communication terminal in a wireless communication system;

[0034] The anti-interference effect test module is used to test the current anti-interference effect of the communication system based on the communication interference decision;

[0035] The decision-making scheme efficiency feedback module is used to feedback the efficiency of the single communication and multiple communication interference decision-making schemes set in the communication system according to the tested interference effect.

[0036] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0037] 1. Construct an interference action selection strategy for the interference control machine when facing the unknown communication state of the interfered party. In the interference action selection strategy, the interference knowledge base is modeled and the interference action recommendation is realized based on the interference knowledge base. The algorithm is used to obtain effective interference actions in a shorter iteration cycle, which can improve the communication decision interference test effect and optimize the interference decision based on the initialization stage;

[0038] 2. By using the interference control center to interact with the single communication and multiple communication environments in the communication system through trial and error, and judging the interference effect of the current strategy from the feedback information obtained, and then deciding the next interference strategy based on relevant algorithms or rules, since the strategy learning process is carried out during the environmental interaction process, the interference strategy finally learned is consistent with the external environment, that is, it can truly achieve effective and reliable interference. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0040] Figure 1 A flowchart of a decision-making method based on a communication system provided in Embodiment 1 of the present invention;

[0041] Figure 2 A schematic diagram of the module composition of a decision system based on a communication system provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1: Figure 1 This is a flowchart of a decision-making method based on a communication system provided in Embodiment 1 of the present invention. This embodiment can be applied to a scenario of interference decision-making in a communication system. This method can be executed by a decision-making system based on a communication system provided in this embodiment. Figure 1 As shown, the method specifically comprises the following steps:

[0044] Step 1: Construct an interference decision scheme for a single communication in a wireless communication system;

[0045] In an embodiment of the present invention, the specific steps of constructing an interference decision scheme for a single communication in a wireless communication system are:

[0046] Step 11: In the single communication interference model, the interference control machine transmits an interference signal to interfere with the signal received by the communication receiver, so that the information obtained after decoding is erroneous and normal communication cannot continue;

[0047] Step 12: Construct an interference action selection strategy for the interference control machine when facing the unknown communication state of the interfered party. In the interference action selection strategy, the interference knowledge base is modeled, and the interference action is recommended based on the interference knowledge base. The algorithm is used to obtain effective interference actions in a shorter iteration cycle.

[0048] Step 13: By interacting with the communication environment, continuously obtain feedback from the communication environment, take maximizing the cumulative feedback value as the optimization goal, and estimate the feedback expectation that can be obtained by taking each action;

[0049] Step 14: Select the action that can obtain the maximum expected feedback value. In the scenario of single communication interference, the feedback value is the bit error rate after the interfered receiver demodulates the signal. The jammer can estimate the bit error rate by observing the exchange between the communication transmitter and the receiver.

[0050] Step 2: Construct an interference decision scheme for multiple communications in a wireless communication system;

[0051] In the embodiment of the present invention, multiple jammers are used to collaboratively perform interference decision-making. By designating one of the jammers as the control center of the interference decision-making, the control center is used to obtain signal information in multiple communication environments in the communication system from the distributed controlled jammers, and various optimized genetic algorithms and ant colony algorithms are used to achieve the optimal configuration of interference resources. The multi-agent reinforcement learning algorithm is used for the collaborative interference decision-making of multiple jammers. By interacting with multiple communication environments, an interference strategy scheme for multiple communications in the wireless communication system is constructed;

[0052] Exemplarily, the specific method steps for constructing the interference decision scheme for multiple communications are:

[0053] Step 21: During the initialization phase of interference decision making for multiple communications in the wireless communication system, the interference control center randomly groups the nodes in the communication network in each interference cycle, and then selects each group of nodes for interference in turn;

[0054] Step 22: When facing multiple communications with unknown topology, the jammer system interacts with the communication network continuously, and then the jammer center randomly selects nodes for jamming, and continuously increases the jamming history data;

[0055] Step 23: Collect interference actions in multiple communication environments, record feedback information of communication topology networking, establish and update the interference history database, and converge it to a better interference decision;

[0056] Step 24: Based on the interference history data, the importance knowledge of the communication networking nodes is mined, and the knowledge previously recorded by the interference knowledge terminal is updated, and the importance knowledge of the communication networking nodes hidden in the interference history data is also mined simultaneously;

[0057] Step 25: Finally, a knowledge strategy for collaborative decision-making of multiple jammers is constructed based on the mined knowledge graph. According to the constructed strategy, the interference control center is guided to iteratively select the optimal communication networking node combination for further interference, thereby optimizing the interference decision-making scheme for multiple communications in the wireless communication system.

[0058] Step 3: Based on single communication interference decision and multiple communication interference decision, test the current anti-interference effect of the communication system;

[0059] In an embodiment of the present invention, the method for testing the current anti-interference effect of the communication system is:

[0060] Step 31: Use a communication node with a sensing function in the communication system to sense the interference environment, determine whether the current interference environment is a single communication environment or a multiple communication environment, and obtain decision information on the interference type and interference power in the corresponding communication environment;

[0061] Step 32: using a decision node with decision-making function in the communication system to make a decision on the interference suppression method through sensing information, and in the decision scheme, selecting different interference decision methods according to different interference types;

[0062] Step 33: When the communication system is working, the system monitors the interference in the communication channel in real time. After detecting the interference signal, the system identifies the interference signal and estimates the center frequency and bandwidth of the interference signal using a related algorithm. Then, the frequency points with interference are removed from the frequency hopping pattern of the communication system.

[0063] Step 34: During a single communication of the wireless communication system, the interference recognition technology is used to detect and identify the current interference type and parameters, and a corresponding interference decision is made according to the established criteria to adjust the communication frequency, power and coding parameters;

[0064] Step 35: When there is frequency domain interference such as multi-tone and partial band interference in the working frequency band, a frequency domain interference suppression test is performed; when there is interference such as linear frequency modulation and noise frequency modulation in the working frequency band, an interference reconstruction and cancellation test is performed; when there is time domain interference such as pulse interference in the working frequency band, a time domain interference suppression test is performed;

[0065] Step 36: Based on the expert knowledge base in the communication system, the communication benefit matrix is ​​calculated in real time. Based on the benefit matrix of the interfering party and the communicating party in single communication and multiple communications when the strategies of the interfering party are unknown, the benefit of each interference strategy is obtained by solving the benefit matrix, and the benefit is used as the interference effect evaluation result.

[0066] Step 4: Feedback the efficiency of the single communication and multiple communication interference decision-making schemes set in the communication system based on the interference effect of the test;

[0067] In the embodiment of the present invention, the interference control center is used to interact with the single communication and multiple communication environments in the communication system by trial and error, and the interference effect of the current strategy is judged from the feedback information obtained, and then the next interference strategy is determined according to the relevant algorithm or rules;

[0068] Exemplarily, the interference control center intercepts the transmission signal of the communication party to perform feature analysis, extracts multiple features of the transmission signal to perform online interference effectiveness evaluation, and uses the effectiveness evaluation results as rewards for learning. The interference control center selects an interference strategy composed of multi-dimensional parameters, and based on several interference data, forms an interference signal to interfere with the communication parties in the communication system, evaluates the degree to which the communication parties in the communication system are affected by the interference, and uses the maximum and minimum strategies to respectively calculate the minimum benefits of the interference strategies adopted by the single communication party and the multiple communication parties in the communication system, so as to obtain the anti-interference effect generated by the communication system.

[0069] Embodiment 2: Embodiment 2 of the present invention provides a decision-making system based on a communication system. Figure 2 A schematic diagram of the module composition of a decision system based on a communication system provided in Embodiment 2 of the present invention is shown in FIG. Figure 2 As shown, the system includes:

[0070] An interference decision scheme module, used to construct an interference decision scheme for a communication terminal in a wireless communication system;

[0071] The anti-interference effect test module is used to test the current anti-interference effect of the communication system based on the communication interference decision;

[0072] The decision-making scheme efficiency feedback module is used to feedback the efficiency of the single communication and multiple communication interference decision-making schemes set in the communication system according to the tested interference effect.

[0073] In some embodiments of the present invention, the interference decision solution module includes:

[0074] A single communication interference module, used to control the interference control machine to interfere with the signal received by the single communication receiver through a single communication interference model;

[0075] A multiple communication interference module is used to construct an interference strategy scheme for multiple communications in a wireless communication system by interacting with multiple communication environments;

[0076] The interference action selection strategy module is used to construct the interference action selection strategy of the interference controller when facing the unknown communication state of the interfered party;

[0077] The collaborative jamming decision-making module is used to make collaborative jamming decisions using multiple jammers.

[0078] In some embodiments of the present invention, the anti-interference effect test module includes:

[0079] An interference environment perception module is used to perceive the interference environment using a communication node with a perception function in the communication system;

[0080] A decision information acquisition module is used to obtain decision information on interference type and interference power in a corresponding communication environment;

[0081] An interference decision mode selection module is used to select different interference decision modes according to different interference types;

[0082] The interference signal identification module is used to identify the interference signal.

[0083] In some embodiments of the present invention, the decision-making scheme efficiency feedback module includes:

[0084] A feedback information acquisition module, used to obtain interference feedback information caused by the interference strategy from the interactive communication environment;

[0085] An interference effect judgment module is used to judge the interference effect of the current strategy from the obtained feedback information;

[0086] The signal characteristic analysis module is used for the interference control center to perform characteristic analysis by intercepting the transmission signal of the communication party;

[0087] The anti-interference effect acquisition module is used to obtain the anti-interference effect generated by the communication system.

[0088] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0089] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, 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 decision-making method based on a communication system, characterized in that: The method comprises the following steps: Step 1: Construct an interference decision scheme for a single communication in a wireless communication system; Step 2: Construct an interference decision scheme for multiple communications in a wireless communication system; Step 3: Based on single communication interference decision and multiple communication interference decision, test the current anti-interference effect of the communication system; Step 4: Feedback the efficiency of the single communication and multiple communication interference decision-making schemes set in the communication system based on the interference effect of the test; The specific steps of constructing the interference decision scheme for a single communication in the wireless communication system include: Step 11: In the single communication interference model, the interference control machine transmits an interference signal to interfere with the signal received by the communication receiver, so that the information obtained after decoding is erroneous and normal communication cannot continue; Step 12: Construct an interference action selection strategy for the interference control machine when facing the unknown communication state of the interfered party. In the interference action selection strategy, the interference knowledge base is modeled, and the interference action is recommended based on the interference knowledge base. The algorithm is used to obtain effective interference actions in a shorter iteration cycle. Step 13: By interacting with the communication environment, continuously obtain feedback from the communication environment, take maximizing the cumulative feedback value as the optimization goal, and estimate the feedback expectation that can be obtained by taking each action; Step 14: Select the action that can obtain the maximum expected feedback value. In the scenario of single communication interference, the feedback value is the bit error rate after the interfered receiver demodulates the signal. The jammer can estimate the bit error rate by observing the exchange between the communication transmitter and the receiver. The interference decision of multiple communications in the communication system includes: Using multiple jammers to collaboratively make interference decisions, by designating one of the jammers as the control center of the interference decision, using the control center to obtain signal information in multiple communication environments in the communication system from the distributed controlled jammers, and using various optimized genetic algorithms and ant colony algorithms to achieve the optimal configuration of interference resources, multi-agent reinforcement learning algorithms are used for multi-jammer collaborative interference decisions, and by interacting with multiple communication environments, an interference strategy solution for multiple communications in a wireless communication system is constructed; The specific method steps for constructing an interference decision scheme for multiple communications in a wireless communication system include: Step 21: During the initialization phase of interference decision making for multiple communications in the wireless communication system, the interference control center randomly groups the nodes in the communication network in each interference cycle, and then selects each group of nodes for interference in turn; Step 22: When facing multiple communications with unknown topology, the jammer system interacts with the communication network continuously, and then the jammer center randomly selects nodes for jamming, and continuously increases the jamming history data; Step 23: Collect interference actions in multiple communication environments, record feedback information of communication topology networking, establish and update the interference history database, and converge it to a better interference decision; Step 24: Based on the interference history data, the importance knowledge of the communication networking nodes is mined, and the knowledge previously recorded by the interference knowledge terminal is updated, and the importance knowledge of the communication networking nodes hidden in the interference history data is also mined simultaneously; Step 25: Finally, a knowledge strategy for collaborative decision-making of multiple jammers is constructed based on the mined knowledge graph. According to the constructed strategy, the interference control center is guided to iteratively select the optimal communication networking node combination for further interference, thereby optimizing the interference decision-making scheme for multiple communications in the wireless communication system.

2. A decision-making method based on a communication system according to claim 1, characterized in that: The method steps for testing the current anti-interference effect of the communication system include: Step 31: Use a communication node with a sensing function in the communication system to sense the interference environment, determine whether the current interference environment is a single communication environment or a multiple communication environment, and obtain decision information on the interference type and interference power in the corresponding communication environment; Step 32: using a decision node with decision-making function in the communication system to make a decision on the interference suppression method through sensing information, and in the decision scheme, selecting different interference decision methods according to different interference types; Step 33: When the communication system is working, the system monitors the interference in the communication channel in real time. After detecting the interference signal, the system identifies the interference signal and estimates the center frequency and bandwidth of the interference signal using a related algorithm. Then, the frequency points with interference are removed from the frequency hopping pattern of the communication system. Step 34: During a single communication of the wireless communication system, the interference recognition technology is used to detect and identify the current interference type and parameters, and a corresponding interference decision is made according to the established criteria to adjust the communication frequency, power and coding parameters; Step 35: When there is frequency domain interference such as multi-tone and partial band interference in the working frequency band, a frequency domain interference suppression test is performed; when there is interference such as linear frequency modulation and noise frequency modulation in the working frequency band, an interference reconstruction and cancellation test is performed; when there is time domain interference such as pulse interference in the working frequency band, a time domain interference suppression test is performed; Step 36: Based on the expert knowledge base in the communication system, the communication benefit matrix is ​​calculated in real time. Based on the benefit matrix of the interfering party and the communicating party in single communication and multiple communications when the strategies of the interfering party are unknown, the benefit of each interference strategy is obtained by solving the benefit matrix, and the benefit is used as the interference effect evaluation result.

3. A decision-making method based on a communication system according to claim 2, characterized in that: The step of providing feedback on the efficiency of the single communication and multiple communication interference decision schemes set in the communication system comprises: The interference control center interacts with the single communication and multiple communication environments in the communication system through trial and error, and judges the interference effect of the current strategy from the feedback information obtained, and then determines the next interference strategy based on relevant algorithms or rules; The interference control center intercepts the transmission signal of the communication party for feature analysis, extracts multiple features of the transmission signal for online evaluation of the interference effectiveness, and uses the effectiveness evaluation results as rewards for learning. The interference control center selects an interference strategy composed of multi-dimensional parameters, and based on several interference data, forms an interference signal to interfere with the communication parties in the communication system, evaluates the degree to which the communication parties in the communication system are affected by the interference, and uses the maximum and minimum strategies to calculate the minimum benefits of the interference strategies adopted by the single communication party and the multiple communication party in the communication system, and obtains the anti-interference effect produced by the communication system.

4. A decision-making system for executing the decision-making method based on a communication system as claimed in claim 1, characterized in that: The system comprises: An interference decision scheme module, used to construct an interference decision scheme for a communication terminal in a wireless communication system; The anti-interference effect test module is used to test the current anti-interference effect of the communication system based on the communication interference decision; The decision-making scheme efficiency feedback module is used to feedback the efficiency of the single communication and multiple communication interference decision-making schemes set in the communication system according to the tested interference effect.

5. The decision-making system according to claim 4, characterized in that: The interference decision scheme module includes: A single communication interference module, used to control the interference control machine to interfere with the signal received by the single communication receiver through a single communication interference model; A multiple communication interference module is used to construct an interference strategy scheme for multiple communications in a wireless communication system by interacting with multiple communication environments; The interference action selection strategy module is used to construct the interference action selection strategy of the interference controller when facing the unknown communication state of the interfered party; The collaborative jamming decision-making module is used to make collaborative jamming decisions using multiple jammers.

6. The decision-making system according to claim 5, characterized in that: The anti-interference effect test module includes: An interference environment perception module is used to perceive the interference environment using a communication node with a perception function in the communication system; A decision information acquisition module is used to obtain decision information on interference type and interference power in a corresponding communication environment; An interference decision mode selection module is used to select different interference decision modes according to different interference types; The interference signal identification module is used to identify the interference signal.

7. The decision-making system according to claim 6, characterized in that: The decision-making scheme efficiency feedback module includes: A feedback information acquisition module, used to obtain interference feedback information caused by the interference strategy from the interactive communication environment; An interference effect judgment module is used to judge the interference effect of the current strategy from the obtained feedback information; The signal characteristic analysis module is used for the interference control center to perform characteristic analysis by intercepting the transmission signal of the communication party; The anti-interference effect acquisition module is used to obtain the anti-interference effect generated by the communication system.

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