Anti-interference efficiency evaluation method for satellite communication system

Abstract

The invention relates to the technical field of communication anti-interference evaluation, in particular to an anti-interference efficiency evaluation method for a satellite communication system. The method comprises the steps that anti-interference evaluation index information of satellite communication in a management time period is acquired, and the evaluation index information comprises frequency hopping anti-interference index information, antenna anti-interference index information, physical layer transmission safety index information, link anti-interference index information and on-satellite processing anti-interference index information; calculating a first anti-interference performance index LMS according to the anti-interference evaluation index information; analyzing expert judgment of satellite communication in the management time period based on an analytic hierarchy process of a cloud model to obtain an analysis result; and evaluating the anti-interference efficiency of the satellite communication system in the management time period based on the first anti-interference efficiency index LMS and the analysis result to obtain an evaluation result. When the anti-interference efficiency of the satellite communication system is evaluated, the accuracy of an evaluation result can be improved, and the evaluation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of communication anti-jamming evaluation, and particularly to an anti-jamming effectiveness evaluation method for satellite communication systems. Background Art

[0002] With the rapid development of technology, satellite communication systems are increasingly widely used in military, civilian, and commercial fields and have become an essential and indispensable part of modern communication. However, satellite communication systems are often interfered by various external factors during operation, such as electromagnetic noise in the natural environment, signal interference from other radio devices, and potential hostile interference. These interferences not only reduce the communication quality but may even cause communication interruption in severe cases, posing a serious threat to the stability and reliability of satellite communication systems.

[0003] Therefore, evaluating the anti-jamming effectiveness of satellite communication systems has become a key link in ensuring system performance and improving communication quality. Currently, for the evaluation of the anti-jamming effectiveness of satellite communication systems, it mainly relies on two methods: experimental testing and simulation analysis. The experimental testing method obtains real performance data by testing the system in an actual environment, but it has high costs, a long cycle, and is greatly restricted by environmental factors. The simulation analysis method, on the other hand, builds a mathematical model of the system and conducts simulation tests on a computer, which has the advantages of low cost, short cycle, and high flexibility. However, the accuracy and integrity of the model have a great impact on the evaluation results.

[0004] In the prior art, there is no anti-jamming effectiveness evaluation method for satellite communication systems that can combine expert evaluation results and the hierarchical evaluation method. Summary of the Invention

[0005] The purpose of the present invention is to provide an anti-jamming effectiveness evaluation method for satellite communication systems, which can at least solve the problems of inaccurate evaluation results and low efficiency caused by relying on experimental testing and simulation analysis when evaluating the anti-jamming effectiveness of satellite communication systems in the existing solutions.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An anti-jamming effectiveness evaluation method for a satellite communication system, the method comprising:

[0008] Obtaining anti-jamming evaluation index information of satellite communication during a management period, wherein the evaluation index information includes frequency hopping anti-jamming index information, antenna anti-jamming index information, physical layer transmission security index information, link anti-jamming index information, and on-board processing anti-jamming index information;

[0009] Calculating a first anti-jamming effectiveness index LMS based on the anti-jamming evaluation index information:

[0010] The frequency hopping anti-jamming coefficient TP is calculated based on the frequency hopping anti-jamming index information, the antenna anti-jamming coefficient TX is calculated based on the antenna anti-jamming index information, the physical layer transmission security coefficient WL is calculated based on the physical layer transmission security index information, the link anti-jamming coefficient LL is calculated based on the link anti-jamming index information, and the on-board processing anti-jamming coefficient XS is calculated based on the on-board processing anti-jamming index information. The frequency hopping anti-jamming coefficient TP, the antenna anti-jamming coefficient TX, the physical layer transmission security coefficient WL, the link anti-jamming coefficient LL, and the on-board processing anti-jamming coefficient XS are substituted into the correlation formula to calculate the first anti-jamming effectiveness index LMS;

[0011] The expert judgment of satellite communication during the management period is analyzed based on the analytic hierarchy process of the cloud model to obtain the analysis result;

[0012] Based on the first anti-jamming effectiveness index LMS and the analysis result, the anti-jamming effectiveness of the satellite communication system during the management period is evaluated to obtain the evaluation result.

[0013] Furthermore, the process of calculating the frequency hopping anti-jamming coefficient TP based on the frequency hopping anti-jamming index information includes the following:

[0014] The frequency hopping anti-jamming index information includes the frequency hopping rate, frequency hopping bandwidth, frequency hopping frequency set, and complexity of the frequency hopping pattern during the management period. Calculate the ratio TPV of the frequency hopping rate to the preset frequency hopping rate, and substitute the ratio TPV, the frequency hopping bandwidth TPD, the frequency hopping frequency set TPJ, and the complexity α of the frequency hopping pattern into the first correlation formula to calculate the frequency hopping anti-jamming coefficient TP. The first correlation calculation formula is as follows:

[0015]

[0016] Among them, β is the frequency hopping anti-jamming constant, which is set by the satellite communication system.

[0017] Furthermore, the process of calculating the antenna anti-jamming coefficient TX based on the antenna anti-jamming index information includes the following:

[0018] The antenna anti-jamming index information includes the phase difference between each antenna unit the number TXM of antenna units, and the antenna coverage rate TXF. Substitute the phase difference the number TXM of antenna units and the antenna coverage rate TXF into the second correlation formula to calculate the antenna anti-jamming coefficient TX. The second correlation formula is as follows:

[0019]

[0020] Among them, the phase difference has the following expression:

[0021]

[0022] Among them, δ is the transmission wavelength or reception wavelength of each antenna element, d is the distance between antenna elements, and θ is the deviation angle between the target direction corresponding to the receiving element or transmitting element and the normal direction.

[0023] Furthermore, calculating the physical layer transmission security coefficient WL based on the physical layer transmission security index information includes the following process:

[0024] The physical layer transmission security index information includes the secrecy capacity WLV, the secrecy outage probability WLP, and the secrecy rate WLS. Substitute the secrecy capacity WLV, the secrecy outage probability WLP, and the secrecy rate WLS into the third correlation formula to calculate the physical layer transmission security coefficient WL. The third correlation formula is as follows:

[0025]

[0026] Among them, μ is a physical layer transmission security constant set by the satellite communication system.

[0027] Furthermore, calculating the link anti-jamming coefficient LL based on the link anti-jamming index information includes the following process:

[0028] The link anti-jamming index information includes the link interference tolerance value: Obtain the link interference tolerance value during the management period. Take the execution time of the management period as the X-axis and the link interference tolerance value as the Y-axis to establish a rectangular coordinate system. Plot the link interference tolerance change curve during the management period and calculate the area of the figure enclosed by the link interference tolerance change curve and the rectangular coordinate axes. Take the area value as the link anti-jamming coefficient LL.

[0029] Furthermore, calculating the on-board processing anti-jamming coefficient XS based on the on-board processing anti-jamming index information includes the following process:

[0030] The on-board processing anti-jamming index information includes the anti-jamming processing gain ZY and the coding gain BZY. Denote the sum of the anti-jamming processing gain ZY and the coding gain BZY as the on-board processing anti-jamming coefficient XS.

[0031] Furthermore, calculating the first anti-jamming effectiveness index LMS based on the anti-jamming evaluation index information includes the following process:

[0032] Substitute the frequency hopping anti-jamming coefficient TP, the antenna anti-jamming coefficient TX, the physical layer transmission security coefficient WL, the link anti-jamming coefficient LL, and the on-board processing anti-jamming coefficient XS into the correlation formula to calculate the first anti-jamming effectiveness index LMS. The correlation formula is as follows:

[0033]

[0034] Among them, k1, k2, k3, k4, and k5 are weights.

[0035] Furthermore, the expert judgments of satellite communication during the management period are analyzed based on the analytic hierarchy process of the cloud model, and the analysis results include the following steps:

[0036] Step 1: Obtain the judgment matrix A given by expert i i , where i = 1, 2... m, and m is the total number of experts;

[0037] Step 2: The consistency test index value CI corresponding to the judgment matrix A i is: i

[0038]

[0039] where γ imax is the maximum eigenvalue of the judgment matrix A i , n i is the order of the judgment matrix A i ;

[0040] Step 3: Compare CI i with the average consistency index value RI to obtain the consistency ratio value CR i :

[0041]

[0042] If CR i < 0.1, it is judged that the judgment matrix A i meets the consistency test requirements; otherwise, the judgment matrix A i needs to be reconstructed;

[0043] When the judgment matrix A i meets the consistency test requirements, there is A i ω i = A i n i , and ω i is the eigenvector of A i ;

[0044] Step 4: Assume that the m eigenvectors obtained from the m judgment matrices given by m experts are ω1 = (ω 11 , ω 12 ... ω 1n ), T , ω2 = (ω 21 , ω 22 ... ω 2n ), T ,..., ω m = (ω m1 , ω​m2 ...ω mn ) T , where

[0045] The expected value E is obtained xi and the entropy E nj and the hyper-entropy H ej The three eigenvalues are used as the analysis results, where j = 1, 2... n:

[0046]

[0047]

[0048]

[0049] where

[0050] Furthermore, based on the first anti-jamming efficiency index LMS and the analysis results, the anti-jamming efficiency of the satellite communication system during the management period is evaluated, and the evaluation results include the following process:

[0051] For the first anti-jamming efficiency index LMS and the expected value E xi and the entropy E nj and the hyper-entropy H ej The three eigenvalues are quantitatively processed for qualitative indicators to obtain a quantization interval, and the comment level is obtained according to the quantization interval.

[0052] Compared with the existing solutions, the beneficial effects achieved by the present invention are:

[0053] On the one hand, the present invention obtains the anti-jamming evaluation index information of satellite communication during the management period, calculates the first anti-jamming efficiency index LMS according to the anti-jamming evaluation index information, establishes a complete efficiency evaluation system, and thus the evaluation results obtained when evaluating the anti-jamming efficiency of the satellite communication system are more accurate.

[0054] The present invention analyzes the expert judgment of satellite communication during the management period based on the analytic hierarchy process of the cloud model to obtain the analysis results, which can, on the one hand, integrate the expert opinions and respect the expert evaluation results, and on the other hand, consider the fuzziness and randomness of the expert evaluation results. Its processing results are more objective than the traditional analytic hierarchy process and the averaging method, thereby improving the accuracy of the evaluation results and the evaluation efficiency. Description of the Drawings

[0055] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0056] Figure 1 It is a flowchart of a method for evaluating anti-jamming effectiveness for a satellite communication system according to an embodiment of the present invention.

[0057] Figure 2 It is a flowchart of another method for evaluating anti-jamming effectiveness for a satellite communication system according to an embodiment of the present invention. Detailed implementation manners

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0059] In addition, the described features, structures, or characteristics can be combined in any suitable manner in one or more exemplary embodiments. In the following description, many specific details are provided to give a full understanding of the exemplary embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced by omitting one or more of the specific details, or by using other methods, components, steps, etc. In other cases, well-known structures, methods, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0060] This embodiment provides a method for evaluating anti-jamming effectiveness for a satellite communication system. Figure 1 It is a flowchart of a method for evaluating anti-jamming effectiveness for a satellite communication system according to an embodiment of the present invention. As Figure 1 shown, the method includes the following steps:

[0061] Step S101: Obtain anti-jamming evaluation index information of satellite communication during the management period. Among them, the evaluation index information includes frequency hopping anti-jamming index information, antenna anti-jamming index information, physical layer transmission security index information, link anti-jamming index information, and on-board processing anti-jamming index information.

[0062] Step S102: Calculate the first anti-jamming effectiveness index LMS according to the anti-jamming evaluation index information. Specifically, the process of calculating the frequency hopping anti-jamming coefficient TP according to the frequency hopping anti-jamming index information includes the following:

[0063] The hopping frequency anti-jamming index information includes the hopping frequency rate, hopping frequency bandwidth, hopping frequency set, and complexity of the hopping frequency pattern within the management period. Calculate the ratio TPV of the hopping frequency rate to the preset hopping frequency rate, and substitute the ratio TPV, hopping frequency bandwidth TPD, hopping frequency set TPJ, and complexity of the hopping frequency pattern α into the first correlation formula to calculate the hopping frequency anti-jamming coefficient TP. The first correlation calculation formula is as follows:

[0064]

[0065] Among them, β is the hopping frequency anti-jamming constant, which is set by the satellite communication system. Among them, the complexity of the hopping frequency pattern can be measured from multiple dimensions, including the length of the hopping frequency sequence, hopping frequency speed, hopping frequency range, and diversity of hopping frequency patterns, etc. Generally speaking, the longer the hopping frequency sequence, the faster the hopping frequency speed, the wider the hopping frequency range, and the higher the diversity of hopping frequency patterns, the higher the complexity of the hopping frequency pattern. The hopping frequency rate, hopping frequency bandwidth, hopping frequency set are positively correlated with the hopping frequency anti-jamming coefficient. The faster the hopping frequency rate, the wider the hopping frequency bandwidth, and the larger the hopping frequency set, the stronger the corresponding hopping frequency anti-jamming ability.

[0066] Calculating the antenna anti-jamming coefficient TX according to the antenna anti-jamming index information includes the following process:

[0067] The antenna anti-jamming index information includes the phase difference of each antenna unit The number of antenna units TXM, antenna coverage TXF, substitute the phase difference The number of antenna units TXM and antenna coverage TXF into the second correlation formula to calculate the antenna anti-jamming coefficient TX. The second correlation formula is as follows:

[0068]

[0069] Among them, the phase difference The expression is as follows:

[0070]

[0071] Among them, δ is the transmitting wavelength or receiving wavelength of each antenna unit, d is the distance between antenna units, and θ is the deviation angle between the target direction corresponding to the receiving unit or transmitting unit and the normal direction.

[0072] Calculating the physical layer transmission security coefficient WL according to the physical layer transmission security index information includes the following process:[[ID=)36]]

[0073] The physical layer transmission security metric information includes the secrecy capacity WLV, the secrecy outage probability WLP, and the secrecy rate WLS. Substitute the secrecy capacity WLV, the secrecy outage probability WLP, and the secrecy rate WLS into the third correlation formula to calculate the physical layer transmission security factor WL. The third correlation formula is as follows:

[0074]

[0075] Among them, μ is the physical layer transmission security constant, which is set by the satellite communication system.

[0076] Calculating the link anti-jamming factor LL based on the link anti-jamming metric information includes the following process:

[0077] The link anti-jamming metric information includes the link interference tolerance value: Obtain the link interference tolerance value within the management period. Taking the execution time of the management period as the X-axis and the link interference tolerance value as the Y-axis, establish a rectangular coordinate system, draw the link interference tolerance change curve within the management period, and calculate the area of the figure enclosed by the link interference tolerance change curve and the rectangular coordinate axes. Take the area value as the link anti-jamming factor LL.

[0078] Calculating the on-board processing anti-jamming factor XS based on the on-board processing anti-jamming metric information includes the following process:

[0079] The on-board processing anti-jamming metric information includes the anti-jamming processing gain ZY and the coding gain BZY. Denote the sum of the anti-jamming processing gain ZY and the coding gain BZY as the on-board processing anti-jamming factor XS.

[0080] Calculating the first anti-jamming effectiveness index LMS based on the anti-jamming evaluation metric information includes the following process:

[0081] Substitute the frequency hopping anti-jamming factor TP, the antenna anti-jamming factor TX, the physical layer transmission security factor WL, the link anti-jamming factor LL, and the on-board processing anti-jamming factor XS into the fourth correlation formula to calculate the first anti-jamming effectiveness index LMS. The correlation formula is as follows:

[0082]

[0083] Among them, k1, k2, k3, k4, k5 are weights.

[0084] Step S103: Analyze the expert judgment of satellite communication within the management period based on the analytic hierarchy process of the cloud model to obtain the analysis result.

[0085] Figure 2 It is the flowchart of another anti-jamming effectiveness evaluation method for satellite communication systems in the embodiments of the present invention. As Figure 2 shown, the method includes the following steps:

[0086] Step 1: Obtain the judgment matrix A given by expert i i , where i = 1, 2... m, and m is the total number of experts; the judgment matrix A i is formed as follows:

[0087] Determine the evaluation object and indicators: First, clarify the purpose of the evaluation and select the project or plan to be evaluated. Then, according to the characteristics of the evaluation object, determine the evaluation index system, and these indicators should be able to comprehensively reflect all aspects of the evaluation object.

[0088] Invite experts: Invite experts with relevant professional knowledge and experience to participate in the evaluation. These experts should have an in-depth understanding of the evaluation object and its index system and be able to provide accurate judgments.

[0089] Expert scoring: Experts score the evaluation object according to the evaluation index system. The scoring can be carried out in various ways, such as direct scoring, grade evaluation, etc. During the scoring process, experts should fully consider various factors to ensure the accuracy and objectivity of the scoring.

[0090] Construct the judgment matrix: Construct the judgment matrix based on the expert scoring data. The judgment matrix is usually a two-dimensional table, where the rows and columns represent the evaluation indicators and experts respectively, and the values in the cells are the scores or judgments of the experts on the indicators.

[0091] Process and integrate the data: For the scoring data of multiple experts, certain processing may be required, such as removing extreme values, calculating the average or median, etc., to obtain a more stable and reliable evaluation result. In addition, certain mathematical methods (such as the analytic hierarchy process, Delphi method, etc.) can be used to perform weighted averaging or other forms of integration on the expert scores to form the final judgment matrix.

[0092] Step 2: Calculate the consistency test index value CI i corresponding to the judgment matrix A i as follows:

[0093]

[0094] where γ imax is the maximum eigenvalue of the judgment matrix A i , and n i is the order of the judgment matrix A i ;

[0095] Step 3: Compare CI i with the average consistency index value RI to calculate the consistency ratio value CR i :

[0096]

[0097] If CRi <0.1, then the judgment matrix A i satisfies the consistency test requirement. Otherwise, the judgment matrix A needs to be reconstructed i ;

[0098] When the judgment matrix A i satisfies the consistency test requirement, there is A i ω i = A i n i ω i is the eigenvector of A i ;

[0099] Step Four: Assume that the m eigenvectors obtained from the m judgment matrices given by m experts are ω1 = (ω 11 , ω 12 ... ω 1n ), T , ω2 = (ω 21 , ω 22 ... ω 2n ), T ,..., ω m = (ω m1 , ω m2 ... ω mn ), T , where

[0100] Calculate the expected value E xi , entropy E nj , and hyperentropy H ej of the three eigenvalues, and take the three eigenvalues as the analysis results, where j = 1, 2... n:

[0101]

[0102]

[0103]

[0104] Among them,

[0105] Step S104: Evaluate the anti-jamming effectiveness of the satellite communication system during the management period based on the first anti-jamming effectiveness index LMS and the analysis results to obtain the evaluation result.

[0106] Perform quantization processing on the qualitative indicators of the first anti-jamming effectiveness index LMS and the expected value E xi , entropy E nj , and hyperentropy H ej of the three eigenvalues to obtain the quantization interval, and obtain the comment level according to the quantization interval:

[0107] Arrange the indicators from excellent to poor according to the actual style or function of the qualitative indicators, and then confirm the evaluation levels H1, H2,..., H m , H i Adopt a uniform quantization method to obtain the corresponding quantization interval [F m , F n . If there are 3 indicator styles, the comment levels are [3 / 7, 5 / 7, 1] in sequence; if there are 4 indicator styles, the comment levels are [1 / 7, 3 / 7, 5 / 7, 1] in sequence; if there are 5 indicator styles, the comment levels are [1 / 9, 3 / 9, 5 / 9, 7 / 9, 1] in sequence. Among them, the types of indicator styles are frequency hopping anti-jamming indicators, antenna anti-jamming indicators, physical layer transmission security indicators, link anti-jamming indicators, and on-board processing anti-jamming indicators. It should be noted that first, judge whether the first anti-jamming efficiency index LMS exceeds the preset threshold according to the first anti-jamming efficiency index LMS. If so, substitute the expected value E xi , entropy E nj , hyper-entropy H ej into the quantization formula to obtain the quantization result. Here, an example can be given to illustrate. The antenna styles include single antenna, phased array antenna, and smart antenna. The corresponding comment levels for each antenna style are S1 = 3 / 7, S2 = 5 / 7, S3 = 1. The fuzzy intervals for the single antenna and the phased array antenna are [3 / 7, 5 / 7], so the acceptable comment value interval for them is [1 / 7, 5 / 7]. The fuzzy intervals for the phased array antenna and the smart antenna are [5 / 7, 1], so the acceptable comment value interval for the phased array antenna is [3 / 7, 1], and the acceptable comment value interval for the smart antenna is [5 / 7, 1]. The corresponding quantization intervals for each antenna style are [F1, F2], [F2, F3], [F3, F4]. Among them, j is consistent with the number of quantization intervals, and the quantization formula is as follows:

[0108]

[0109] In summary, the present invention obtains the anti-jamming evaluation index information of satellite communication during the management period, calculates the first anti-jamming efficiency index LMS according to the anti-jamming evaluation index information, establishes a complete efficiency evaluation system, and then the evaluation result obtained when evaluating the anti-jamming efficiency of the satellite communication system is more accurate. Analyzing the expert judgment of satellite communication during the management period based on the analytic hierarchy process of the cloud model to obtain the analysis result can, on the one hand, integrate the expert opinions and respect the expert evaluation results, and on the other hand, consider the fuzziness and randomness of the expert evaluation results. Its processing result is more objective than the traditional analytic hierarchy process and the averaging method, thereby improving the accuracy of the evaluation result and the evaluation efficiency.

[0110] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0111] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0112] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0113] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only for some logical function divisions, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in an electrical, mechanical, or other form.

[0114] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0116] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. An anti-jamming effectiveness evaluation method for a satellite communication system, characterized in that The method includes: Obtaining anti-jamming evaluation index information of satellite communication during the management period, where the evaluation index information includes frequency hopping anti-jamming index information, antenna anti-jamming index information, physical layer transmission security index information, link anti-jamming index information, and on-board processing anti-jamming index information; Calculating a first anti-jamming effectiveness index LMS based on the anti-jamming evaluation index information; Calculating a frequency hopping anti-jamming coefficient TP based on the frequency hopping anti-jamming index information, calculating an antenna anti-jamming coefficient TX based on the antenna anti-jamming index information, calculating a physical layer transmission security coefficient WL based on the physical layer transmission security index information, calculating a link anti-jamming coefficient LL based on the link anti-jamming index information, and calculating an on-board processing anti-jamming coefficient XS based on the on-board processing anti-jamming index information, and substituting the frequency hopping anti-jamming coefficient TP, antenna anti-jamming coefficient TX, physical layer transmission security coefficient WL, link anti-jamming coefficient LL, and on-board processing anti-jamming coefficient XS into the correlation formula to calculate the first anti-jamming effectiveness index LMS; Analyzing the expert judgment of satellite communication during the management period based on the analytic hierarchy process of the cloud model to obtain an analysis result; Evaluating the anti-jamming effectiveness of the satellite communication system during the management period based on the first anti-jamming effectiveness index LMS and the analysis result to obtain an evaluation result.

2. The anti-interference effectiveness evaluation method for a satellite communication system according to claim 1, wherein Calculating the frequency hopping anti-jamming coefficient TP based on the frequency hopping anti-jamming index information includes the following process: The frequency hopping anti-jamming index information includes the frequency hopping rate, frequency hopping bandwidth, frequency hopping frequency set, and complexity of the frequency hopping pattern during the management period. Calculate the ratio TPV of the frequency hopping rate to the preset frequency hopping rate, and substitute the ratio TPV, frequency hopping bandwidth TPD, frequency hopping frequency set TPJ, and complexity of the frequency hopping pattern α into the first correlation formula to calculate the frequency hopping anti-jamming coefficient TP. The first correlation calculation formula is as follows: where β is a frequency hopping anti-jamming constant set by the satellite communication system.

3. The anti-jamming effectiveness evaluation method for a satellite communication system according to claim 1, characterized in that, Calculating the antenna anti-jamming coefficient TX based on the antenna anti-jamming index information includes the following process: The antenna anti-interference index information includes the phase difference of each antenna unit The number of antenna units TXM and the antenna coverage TXF, substituting the phase difference The number of antenna units TXM and the antenna coverage TXF are substituted into the second correlation formula to calculate the antenna anti-interference coefficient TX. The second correlation formula is as follows: Among them, the phase difference has the following expression: where δ is the emission wavelength or reception wavelength of each antenna unit, d is the distance between antenna units, and θ is the deviation angle between the target direction corresponding to the receiving unit or transmitting unit and the normal direction.

4. The anti-interference effectiveness evaluation method for a satellite communication system according to claim 1, wherein Calculating the physical layer transmission security coefficient WL based on the physical layer transmission security index information includes the following process: The physical layer transmission security index information includes secrecy capacity WLV, secrecy outage probability WLP, and secrecy rate WLS. Substitute the secrecy capacity WLV, secrecy outage probability WLP, and secrecy rate WLS into the third correlation formula to calculate the physical layer transmission security coefficient WL. The third correlation formula is as follows: where μ is a physical layer transmission security constant set by the satellite communication system.

5. The anti-interference effectiveness evaluation method for a satellite communication system according to claim 1, characterized in that Calculating the link anti-jamming coefficient LL based on the link anti-jamming index information includes the following process: The link anti-jamming index information includes the link interference tolerance value: Obtain the link interference tolerance value during the management period. Taking the execution time of the management period as the X-axis and the link interference tolerance value as the Y-axis, establish a rectangular coordinate system, plot the link interference tolerance change curve during the management period, and calculate the area of the figure enclosed by the link interference tolerance change curve and the rectangular coordinate axes. Take the area value as the link anti-jamming coefficient LL.

6. The anti-jamming effectiveness evaluation method for a satellite communication system according to claim 1, wherein Calculating the on-board processing anti-jamming coefficient XS according to the on-board processing anti-jamming index information includes the following process: The on-board processing anti-jamming index information includes the anti-jamming processing gain ZY and the coding gain BZY. Denote the sum of the anti-jamming processing gain ZY and the coding gain BZY as the on-board processing anti-jamming coefficient XS.

7. The anti-jamming effectiveness evaluation method for a satellite communication system according to claim 1, characterized in that Calculating the first anti-jamming effectiveness index LMS according to the anti-jamming evaluation index information includes the following process: Substitute the frequency hopping anti-jamming coefficient TP, the antenna anti-jamming coefficient TX, the physical layer transmission security coefficient WL, the link anti-jamming coefficient LL, and the on-board processing anti-jamming coefficient XS into the correlation formula to calculate the first anti-jamming effectiveness index LMS. The correlation formula is as follows: Where k1, k2, k3, k4, k5 are weights.

8. The anti-jamming effectiveness evaluation method for a satellite communication system according to claim 1, characterized in that, Analyzing the expert judgment of satellite communication during the management period based on the analytic hierarchy process of the cloud model, the analysis results include the following steps: Step 1: Obtain the judgment matrix A given by expert i i , where i = 1, 2... m, and m is the total number of experts; Step 2: Obtain the judgment matrix A i The corresponding consistency test index value CI i is as follows: Among them, γ imax is the maximum eigenvalue of the judgment matrix A i , and n i is the order of the judgment matrix A i ; Step 3: Compare CI i with the average consistency index value RI to obtain the consistency ratio value CR i : If CR i <0.1, then the judgment matrix A i satisfies the consistency test requirement. Otherwise, the judgment matrix A needs to be reconstructed i ; When the judgment matrix A i satisfies the consistency test requirements, we have A i ω i = A i n i , where ω i is the eigenvector of A i ; Step 4: Assume that the m eigenvectors obtained from the m judgment matrices given by m experts are ω1 = (ω 11 , ω 12 ... ω 1n ), T , ω2 = (ω 21 , ω 22 ... ω 2n ), T ,..., ω m = (ω m1 , ω m2 ... ω m n), T where Obtain the expected value E xi , entropy E nj , hyperentropy H ej Three eigenvalues, and use the three eigenvalues as the analysis results, where j = 1, 2... n: Among them, 9. The anti-jamming effectiveness evaluation method for a satellite communication system according to claim 1, characterized in that Evaluating the anti-jamming effectiveness of the satellite communication system during the management period based on the first anti-jamming effectiveness index LMS and the analysis results, the evaluation results include the following process: For the first anti-interference efficiency index LMS and the expected value E xi , entropy E nj , hyperentropy H ej Qualitative index quantization processing is performed on the three eigenvalues to obtain a quantization interval, and the comment level is obtained according to the quantization interval.

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