CN116886174B - Anti-interference efficiency evaluation method for satellite communication system - Google Patents
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Abstract
The invention provides an anti-interference efficiency evaluation method for a satellite communication system, which fully considers the characteristics of the anti-interference efficiency evaluation of the satellite communication system, establishes an anti-interference efficiency evaluation model of the satellite communication system, and therefore, the designed anti-interference evaluation algorithm of the satellite communication system based on the least square method can effectively evaluate the communication efficiency of the satellite communication system under the interference condition, and verifies the effectiveness and feasibility of the method through practical tests; the design method is simple, has engineering realizability and can be widely applied to other communication systems. Through actual test, the evaluation value obtained by the evaluation method is relatively close to the test value, which indicates that the function fitting of the anti-interference performance of the satellite communication system is realistic, and the established model is effective. When interference is encountered, the call rate index under the current interference can be obtained through the anti-interference capability evaluation model of the satellite communication system, and the call rate index can be used as an important reference and basis for the operation decision of the satellite communication system.
Description
Technical Field
The invention relates to the field of satellite communication system anti-interference performance evaluation, in particular to a satellite communication system anti-interference performance evaluation method based on a least square method.
Background
The anti-interference performance evaluation algorithm comprises an analysis method, a comprehensive evaluation method and a simulation method. The analytical method is to build a mathematical model according to an analytical expression describing a functional relationship between the performance index and a given condition, and obtain an estimated value of the performance index through theoretical calculation, namely, solve the built performance equation according to the mathematical method. The comprehensive evaluation method is to make global and integral evaluation on the object system described by the multi-attribute architecture. That is, a certain method is adopted for each evaluation object according to the given conditions, and each evaluation object is given an evaluation value (also called an evaluation index) and is then preferentially or sequentially ranked according to the evaluation value. The simulation method is to build a simulation model of the system and perform a simulation test, obtain system data from the test, and obtain a system performance index evaluation value after statistical processing.
In the aspect of evaluation technology research, evaluation works with different degrees are carried out in a plurality of different fields in early China, but are not strict and standard. After the actual evaluation work starts in the 80 s, with the introduction of evaluation technology from abroad and gradual understanding and popularization, the relevant evaluation theory is deeply researched by Chinese scholars, and a great amount of theoretical results are obtained. The related researchers combine various theoretical achievements with the evaluation technology, so that the evaluation technology is greatly developed. For example, combining gray system theory with traditional evaluation methods, a gray AHP method is produced; combining a group decision feature root method (GEM) with an AHP method, and providing an HP-GEM method; the fuzzy mathematical theory is used for evaluation, and various improved evaluation methods such as a fuzzy AHP method, a fuzzy comprehensive evaluation method and the like are generated. Some researchers have also introduced the theory of petri nets, neural networks, etc. into evaluation techniques. As the research of the evaluation technique is further advanced, many scholars have conducted special study on the more complex evaluation technique. However, the above satellite communication system interference performance evaluation is limited to the theoretical research stage, and many researches have not been validated and implemented.
In summary, a scientific, reasonable and applicable anti-interference evaluation algorithm is provided, which can provide scientific technical means and support for the anti-interference performance evaluation of the satellite communication system. Based on the above, the invention provides an effective satellite communication system anti-interference evaluation algorithm which is verified by practical tests.
Disclosure of Invention
The invention aims to provide an effective satellite communication system anti-interference evaluation method based on a least square method, which is verified by practical tests. The scientific, reasonable and applicable anti-interference evaluation method provided by the invention can provide scientific technical means and support for the anti-interference efficiency evaluation of the satellite communication system through practical test verification, thereby solving the problems in the prior art.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
an anti-interference effectiveness evaluation method for a satellite communication system comprises the steps of constructing an anti-interference effectiveness evaluation model;
the step of constructing the anti-interference efficacy evaluation model specifically comprises the following steps: based on the anti-interference performance evaluation characteristics of the satellite communication system, an interference performance evaluation model based on a least square method is constructed, and function fitting is performed by using test data to obtain a final anti-interference performance evaluation function.
Preferably, the construction of the anti-interference efficacy evaluation model specifically includes the following steps:
step 2.1, designing an evaluation method, combining an index selection principle in consideration of complexity of a satellite communication anti-interference system and different evaluation indexes, so that an analysis method and a simulation combined method are combined;
step 2.2, constructing an evaluation model, and fitting the true value y and the measured value y by a least square method i A relationship; adopting a square difference to replace an error value calculation method; adopting a linear regression analysis tool to examine the functional relation between the voice call rate and the interference power as well as the interference bandwidth, and obtaining a functional fitting relation between the voice call rate and the interference power according to the third power and a functional fitting relation between the interference bandwidth according to the fifth power through verification; obtaining a regression model y=beta through the determined anti-interference performance evaluation function characteristics 0 +β 1 x 1 +…+β n x n +ε, regression coefficients β were obtained from the k sets of data tested using OLS regression analysis i Estimate of b 0 ,b 1 ,…,b n To square the errorMinimum; providing a basis for a multiple linear regression reference model by fitting a functional relation between the independent variable and the dependent variable, and performing anti-interference evaluation function fitting on the basis;
step 2.3, obtaining an evaluation function; the resulting evaluation function includes:
the functional relationship between the voice call rate and the interference and/or the functional relationship between the data call rate and the interference and/or the functional relationship between the network access time length and the interference.
Preferably, the functional relationship between the voice call rate and the interference is:
let x be 1 Representing interference power, wherein the unit is W; x is x 2 Representing bandwidth in MHz; y is the voice call-through rate. The least square method is utilized to evaluate the model, and the evaluation functions of the voice call rate, the interference power and the interference bandwidth are obtained as follows:
preferably, the functional relationship between the data call rate and the interference is:
let x be 1 Representing interference power, wherein the unit is W; x is x 2 Representing bandwidth in MHz; y is the data call rate; the least square method is utilized to evaluate the model, and the evaluation functions of the data call rate, the interference power and the interference bandwidth are obtained as follows:
preferably, the functional relationship between the network access duration and the interference is:
let x be 1 Representing interference power, wherein the unit is W; x is x 2 Representing bandwidth in MHz; y is the network access time; the evaluation function of the network access time length, the interference power and the interference bandwidth is obtained by using a least square method evaluation model:
preferably, python is adopted as an analysis tool of linear regression, and the functional relation between the voice call rate and the interference power and the interference bandwidth is inspected by introducing a numpy library and a matplotlib library;
the square difference, i.e. the sum of squares of the errors, used is: s= Σ (y-y i ) 2 。
Preferably, before the step of constructing the anti-interference efficacy evaluation model, the method further comprises:
step 1, establishing a test environment; and establishing an anti-interference performance evaluation test environment of the satellite communication system.
Preferably, the step 1 specifically includes:
step 1.1: building a test environment under an interference condition; building a test environment under an interference condition by relying on a satellite repeater of a middle satellite; an interference station is constructed by using an AWG70000A arbitrary waveform generator as a signal source, the interference station has the capability of transmitting single carrier waves and modulating signals, the signal bandwidth can cover 10MHz to 500MHz, and the transmission power range is 0.1W to 100W; the method comprises the steps that a star communication system terminal A and a star communication system terminal B are used as test terminals, and a star system gateway station is matched for testing;
step 1.2: testing communication indexes under different interference conditions; before each test starts, firstly completing the inspection of the test equipment; after the test operation is completed under each interference condition, the interference signal is required to be stopped from being sent, the test conclusion is verified under the condition of no interference, and then the test result is formally recorded to prepare for the subsequent test.
Preferably, after the step of constructing the anti-interference efficacy evaluation model, the method further comprises:
step 3, proving the validity of the evaluation method; the evaluation index is designed firstly, then the index of the evaluation method is calculated, and the effectiveness of the evaluation method is verified.
Preferably, the step 3 specifically includes:
step 3.1: designing an evaluation index;
index 1: a correction decision coefficient (adjusted. R-squared), the number of systems reflecting the degree of fitting of the model, ranging from 0 to 1, with higher values generally indicating more appropriate;
R 2 ＝E[(y-E[y])(y i -E[y i ])]
wherein n is the number of samples, p is the number of parameters, R 2 For determining coefficients, E is a mathematical expectation;
index 2: standard error (std err), which is the standard deviation of parameter statistics, reflects the degree of dispersion between parameter averages, and accounts for the magnitude of parameter sampling error, the index reflecting the level of accuracy of the parameter, the lower the standard error relative to the parameter value, the higher the accuracy;
wherein n is the number of samples,deviation between the parameter and the average value of the parameter;
step 3.2: verifying the validity of the evaluation method;
and (3) calculating the fitting index of the evaluation function according to the index given in the step (3.1).
The beneficial effects of the invention are as follows:
the method adopts the least square method to approach the function, selects the best fitting curve, determines the position by the principle of least square method and 'error square sum least', and has excellent characteristics besides convenient calculation, because the method is very sensitive to abnormal values. In addition, the invention provides a practical anti-interference performance evaluation method. According to the anti-interference performance evaluation method provided by the invention, through actual inspection and test, the evaluation value obtained by the evaluation method is relatively close to the test value, so that the function fitting of the anti-interference performance of the satellite communication system is realistic, and the established model is effective. When interference is encountered, the call rate index under the current interference can be obtained through the anti-interference capability evaluation model of the satellite communication system, and the call rate index can be used as an important reference and basis for the operation decision of the satellite communication system.
Drawings
FIG. 1 is a schematic diagram of an anti-interference performance evaluation method of a satellite communication system;
FIG. 2 is a schematic diagram of a test environment under an interference condition;
FIG. 3 is a schematic diagram of a basic flow of test implementation under interference conditions;
FIG. 4 is a schematic diagram of the relation between the real value y and the measured value yi based on the least square method;
FIG. 5 is a voice call rate evaluation function indicator;
FIG. 6 is a data call rate function indicator
Fig. 7 is an incoming duration call-through rate function indicator.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the detailed description is presented by way of example only and is not intended to limit the invention.
The invention provides an anti-interference performance evaluation algorithm based on a least square method, which is used for obtaining the voice call rate of a satellite communication network system under the conditions of different interference powers and different interference bandwidths, and reflecting the anti-interference performance of the satellite communication system through the voice call rate.
The invention adopts an anti-interference evaluation algorithm combining simulation and mathematical interpretation. Firstly, a test environment is built by using a simulation method, and the voice call rate under the conditions of different interference intensities and interference bandwidths is obtained through testing. And then obtaining an anti-interference evaluation model by using an interpretation method, wherein the interpretation method uses python as an analysis tool of linear regression, adopts a least square method, and searches for the optimal function matching of the data by minimizing the square sum of errors.
In one aspect, the invention provides a satellite communication system anti-interference performance evaluation function feature determination process. And using python as an analysis tool of linear regression, and examining the functional relation of the voice call rate, the interference power and the interference bandwidth by introducing a numpy library and a matplotlib library.
In another aspect, the invention provides a satellite communication system anti-interference assessment function fitting process. Obtaining a regression model y=beta through the interference resistance evaluation function characteristics determined above 0 +β 1 x 1 +…+β n x n +ε, regression coefficients β were obtained from the k sets of data tested using OLS regression analysis i Estimate b of (2) 0 ,b 1 ,…,b n To square the errorMinimum. And providing a basis for a multiple linear regression reference model by fitting a functional relation between the independent variable and the dependent variable, and performing anti-interference evaluation function fitting on the basis.
Referring to fig. 1, the embodiment provides a method for evaluating anti-interference performance of a satellite communication system, which includes the following steps:
1. and establishing a testing environment. Establishing an anti-interference efficacy evaluation test environment of a satellite communication system, comprising the following steps:
step 1.1: building a test environment under an interference condition;
as shown in fig. 2. And building a test environment under the interference condition by depending on a Ka transponder of a satellite 1A of the Zhongxing. An interference station is constructed by using an AWG70000A arbitrary waveform generator as a signal source, has the capability of transmitting single carrier waves and modulating signals, and can cover 10MHz to 500MHz in signal bandwidth and have a transmission power range of 0.1W to 100W. And the star communication system terminal A and the star communication system terminal B are used as test terminals, and the star system gateway station is matched with the test.
Step 1.2: testing communication indexes under different interference conditions;
the basic flow of test implementation is shown in figure 3. Before each test starts, firstly completing the inspection of the test equipment; after the test operation is completed under each interference condition, the interference signal is required to be stopped from being sent, the test conclusion is verified under the condition of no interference, and then the test result is formally recorded to prepare for the subsequent test. The test results are shown in tables 1, 2 and 3.
2. And (5) constructing an anti-interference efficacy evaluation model. Based on the anti-interference performance evaluation characteristics of the satellite communication system, an interference performance evaluation model based on a least square method is constructed, and function fitting is performed by using test data to obtain a final anti-interference performance evaluation function.
Step 2.1: design evaluation method
In consideration of the complexity of the satellite communication anti-interference system and different methods for evaluating different indexes, the principle of index selection is combined, so that the method of combining an analysis method and simulation is combined for the anti-interference evaluation of the network control equipment of the satellite communication anti-interference system.
The evaluation method of the design of the invention comprises the following steps: and constructing a satellite communication anti-interference system testing environment to obtain index data such as voice call rate, data call rate and network access duration. Fitting the index data into a functional relation between interference power and interference bandwidth through a linear regression model of a least square method, thereby obtaining a model of the anti-interference performance of the broadband frequency hopping anti-interference network. And finally, using Electron software to realize the anti-interference performance evaluation model.
Step 2.2: and constructing an evaluation model.
As shown in fig. 4. Fitting the true value y and the measured value y by a least square method i Relationship. Fitting true value y to measured value y i A reasonable approach is needed to be selected, and the error of each measured value is |y-y i It is clear that the ideal result is to minimize the error, but this way of calculating the error value requires taking absolute values, which is cumbersome. Therefore, a square difference is used instead. I.e. the sum of squares of the errors is: s= Σ (y-y i ) 2 。
By adopting python as a linear regression analysis tool, the functional relation between the voice call rate and the interference power as well as the interference bandwidth is inspected by introducing a numpy library and a matplotlib library, and the functional fitting relation between the voice call rate and the interference power according to the third power and the functional fitting relation between the interference bandwidth according to the fifth power are obtained through verification.
In another aspect, the invention provides a satellite communication system anti-interference assessment function fitting process. Obtaining a regression model y=beta through the interference resistance evaluation function characteristics determined above 0 +β 1 x 1 +…+β n x n +ε, regression coefficients β were obtained from the k sets of data tested using OLS regression analysis i Estimate b of (2) 0 ,b 1 ,…,b n To square the errorMinimum. And providing a basis for a multiple linear regression reference model by fitting a functional relation between the independent variable and the dependent variable, and performing anti-interference evaluation function fitting on the basis.
Step 2.3: obtaining an evaluation function
(1) Functional relation between voice call rate and interference
Let x be 1 Representing the interference power in W. X is x 2 Representing bandwidth in MHz. y is the voice call-through rate. Obtaining voice call rate and interference by using least square method evaluation modelThe evaluation function of the power and the interference bandwidth is as follows:
(2) Functional relation between data call rate and interference
Let x be 1 Representing the interference power in W. X is x 2 Representing bandwidth in MHz. y is the data call rate. The least square method is utilized to evaluate the model, and the evaluation functions of the data call rate, the interference power and the interference bandwidth are obtained as follows:
(3) Functional relation between network access time length and interference
Let x be 1 Representing the interference power in W. X is x 2 Representing bandwidth in MHz. y is the network access time. The evaluation function of the network access time length, the interference power and the interference bandwidth is obtained by using a least square method evaluation model:
3. the validity of the evaluation method is proved. The evaluation index is designed firstly, then the index of the evaluation method is calculated, and the effectiveness of the evaluation method is verified.
Step 3.1: and (5) designing an evaluation index.
Index 1: a correction decision coefficient (adjusted. R-squared), the number of systems reflecting the degree of fitting of the model, ranges from 0 to 1, with higher values generally indicating more appropriate.
R 2 ＝E[(y-E[y])(y i -E[y i ])]
Wherein n is the number of samples, p is the number of parametersNumber, R 2 For determining coefficients, E is a mathematical expectation.
Index 2: the standard error (std err), which is the standard deviation of the parameter statistics, reflects the degree of dispersion between the parameter averages, and accounts for the magnitude of the parameter sampling error, which reflects the level of accuracy of the parameter, with the lower the standard error relative to the parameter value, the higher the accuracy.
Wherein n is the number of samples,is the deviation between the parameter and the mean value of the parameter.
Step 3.2: verification and evaluation method validity
And (3) calculating the fitting index of the evaluation function according to the index given in the step (3.1).
Fig. 5 shows the voice call rate evaluation function index, and as can be seen from fig. 5, the adjusted. R-squared is 0.933, which is close to the ideal value of 1. The corresponding standard error std err value of each parameter is very small, and meets the requirements.
Fig. 6 shows the data call rate function index, and as can be seen from fig. 6, adjusted.r-squared is 0.960, which is close to the ideal value of 1. The corresponding standard error std err value of each parameter is very small, and meets the requirements.
Fig. 7 shows call-through rate function index of the time of network entry, and as can be seen from fig. 7, adjusted.r-squared is 0.949, which is close to the ideal value of 1. The corresponding standard error std err value of each parameter is very small, and meets the requirements.
4. And (5) verifying the instance. And testing communication data under different interference conditions, and comparing the test data with the anti-interference performance evaluation result designed by the invention to verify the correctness of the anti-interference performance evaluation method. Finally, the practicability evaluation of the anti-interference efficiency evaluation method is carried out.
Step 4.1: comparing the test data with designed anti-interference performance evaluation data
(1) Voice call-through rate function evaluation
A testing environment is built, a Zhongxing 1A satellite communication network under different interference conditions is tested, three conditions of strong interference, medium interference and weak interference are selected for testing, and a voice call rate function evaluation value is compared with an actual testing value.
(1) When the output power is 10W and the interference bandwidth is 10M, the actually measured voice call rate is as follows: 60.9%, the voice call rate estimated by the voice call rate function is 61.2%, and the measured value is relatively close to the estimated value.
(2) When the output power is 20W and the interference bandwidth is 10M, the actually measured voice call rate is as follows: 24.7%, the voice call rate estimated by the voice call rate function is 25.84%, and the measured value is relatively close to the estimated value.
(3) When the output power is 30W and the interference bandwidth is 10M, the actually measured voice call rate is as follows: 8.13%, the voice call rate estimated by the voice call rate function is 7.9%, and the measured value is relatively close to the estimated value.
(2) Data call-through rate function evaluation
And (3) constructing a test environment, testing the satellite communication anti-interference network under the interference condition, selecting three conditions of strong interference, medium interference and weak interference for testing, and comparing the data call-through rate function evaluation value with the actual test value. The specific cases are as follows:
(1) when the output power is 10W and the interference bandwidth is 10M, the actual measurement data call-through rate is as follows: 54.7%, the data call rate estimated by the software is 53.25%, and the actual measurement value is close to the estimated value.
(2) When the output power is 20W and the interference bandwidth is 10M, the actual measurement data call-through rate is as follows: 23.9%, the data call rate estimated by the software is 24.08%, and the measured value is close to the estimated value.
(3) When the output power is 30W and the interference bandwidth is 10M, the actual measurement data call-through rate is as follows: 6.7%, the data call rate estimated by the software is 6.89%, and the actual measurement value is close to the estimated value.
(3) Network entry time function evaluation
A testing environment is built, an anti-interference network of satellite communication under the interference condition is tested, testing is conducted under the three conditions of strong interference, medium interference and weak interference are selected, and an estimated value of a network access time length function is compared with an actual testing value. The specific cases are as follows:
(1) when the output power is 10W and the interference bandwidth is 10M, the actual measurement network access duration is as follows: the network access time estimated by the software is 2 minutes and 50 seconds, and the actual measurement value is close to the estimated value.
(2) When the output power is 20W and the interference bandwidth is 10M, the actual measurement network access duration is as follows: the network access time estimated by the software is 3 minutes and 27 seconds, and the actual measurement value is close to the estimated value.
(3) When the output power is 30W and the interference bandwidth is 10M, the actual measurement network access duration is as follows: the network access time estimated by the software is 3 minutes and 50 seconds, and the actual measurement value is close to the estimated value.
Step 4.2: anti-interference efficacy evaluation method and practicability evaluation method
Under different interference conditions, the evaluation value obtained by the anti-interference performance evaluation function designed by the invention is relatively close to the test value, which indicates that the fitting of the anti-interference performance evaluation function is realistic, and the established model is effective. When interference is encountered, the voice call rate, the data call rate and the network access time under the current interference can be calculated through the anti-interference effectiveness evaluation function provided by the invention, and the index parameters can be used as important references and bases for operation decisions of a satellite communication system.
TABLE 1 results of voice call completion rate test for different interference patterns
Table 2 results of data traffic call rate test under different interference patterns
Table 3 test results of the time period of network access under different interference patterns
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the method adopts the least square method to approach the function, selects the best fitting curve, determines the position by the principle of least square method and 'error square sum least', and has excellent characteristics besides convenient calculation, because the method is very sensitive to abnormal values. In addition, the invention provides a practical anti-interference performance evaluation method. According to the anti-interference performance evaluation method provided by the invention, through actual inspection and test, the evaluation value obtained by the evaluation method is relatively close to the test value, so that the function fitting of the anti-interference performance of the satellite communication system is realistic, and the established model is effective. When interference is encountered, the call rate index under the current interference can be obtained through the anti-interference capability evaluation model of the satellite communication system, and the call rate index can be used as an important reference and basis for the operation decision of the satellite communication system.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which is also intended to be covered by the present invention.
Claims (8)
1. The anti-interference performance evaluation method for the satellite communication system is characterized by comprising the steps of constructing an anti-interference performance evaluation model;
the step of constructing the anti-interference efficacy evaluation model specifically comprises the following steps: based on the anti-interference performance evaluation characteristics of the satellite communication system, constructing an interference performance evaluation model based on a least square method, and performing function fitting by using test data to obtain a final anti-interference performance evaluation function;
the construction of the anti-interference efficacy evaluation model specifically comprises the following steps:
step 2.1, designing an evaluation method, combining an index selection principle in consideration of complexity of a satellite communication anti-interference system and different evaluation indexes, so that an analysis method and a simulation combined method are combined;
step 2.2, constructing an evaluation model, and fitting the true value y and the measured value y by a least square method i A relationship; adopting a square difference to replace an error value calculation method; adopting a linear regression analysis tool to examine the functional relation between the voice call rate and the interference power as well as the interference bandwidth, and obtaining a functional fitting relation between the voice call rate and the interference power according to the third power and a functional fitting relation between the interference bandwidth according to the fifth power through verification; obtaining a regression model y=beta through the determined anti-interference performance evaluation function characteristics 0 +β 1 x 1 +L+β n x n +ε, regression coefficients β were obtained from the k sets of data tested using OLS regression analysis i Estimate of b 0 ,b 1 ,…,b n To square the errorMinimum; providing a basis for a multiple linear regression reference model by fitting a functional relation between the independent variable and the dependent variable, and performing anti-interference evaluation function fitting on the basis;
step 2.3, obtaining an evaluation function; the resulting evaluation function includes:
the functional relation between the voice call rate and the interference and/or the functional relation between the data call rate and the interference and/or the functional relation between the network access time and the interference;
the functional relation between the voice call rate and the interference is as follows:
let x be 1 Representing interference power, wherein the unit is W; x is x 2 Representing bandwidth in MHz; y is the voice call rate; the least square method is utilized to evaluate the model, and the evaluation functions of the voice call rate, the interference power and the interference bandwidth are obtained as follows:
2. the method for evaluating anti-interference performance of a satellite communication system according to claim 1, wherein the data call rate as a function of interference is:
let x be 1 Representing interference power, wherein the unit is W; x is x 2 Representing bandwidth in MHz; y is the data call rate; the least square method is utilized to evaluate the model, and the evaluation functions of the data call rate, the interference power and the interference bandwidth are obtained as follows:
3. the method for evaluating anti-interference performance of a satellite communication system according to claim 1, wherein the network access duration as a function of interference is:
let x be 1 Representing interference power, wherein the unit is W; x is x 2 Representing bandwidth in MHz; y is the network access time; the evaluation function of the network access time length, the interference power and the interference bandwidth is obtained by using a least square method evaluation model:
4. the method for evaluating the anti-interference effectiveness of a satellite communication system according to claim 1, wherein python is adopted as an analysis tool of linear regression, and the functional relation between the voice call rate and the interference power and the interference bandwidth is examined by introducing a numpy library and a matplotlib library;
the square difference, i.e. the sum of squares of the errors, used is: s= Σ (y-y i ) 2 。
5. The method for evaluating the performance of a satellite communication system according to any one of claims 1 to 4, further comprising, before the step of constructing the performance evaluation model:
step 1, establishing a test environment; and establishing an anti-interference performance evaluation test environment of the satellite communication system.
6. The method for evaluating anti-interference performance of a satellite communication system according to claim 5, wherein the step 1 specifically comprises:
step 1.1: building a test environment under an interference condition; building a test environment under an interference condition by relying on a satellite repeater of a middle satellite; an interference station is constructed by using an AWG70000A arbitrary waveform generator as a signal source, the interference station has the capability of transmitting single carrier waves and modulating signals, the signal bandwidth can cover 10MHz to 500MHz, and the transmission power range is 0.1W to 100W; the method comprises the steps that a star communication system terminal A and a star communication system terminal B are used as test terminals, and a star system gateway station is matched for testing;
step 1.2: testing communication indexes under different interference conditions; before each test starts, firstly completing the inspection of the test equipment; after the test operation is completed under each interference condition, the interference signal is required to be stopped from being sent, the test conclusion is verified under the condition of no interference, and then the test result is formally recorded to prepare for the subsequent test.
7. The method for evaluating the interference avoidance performance of a satellite communication system according to any one of claims 1-4, further comprising, after the step of constructing the interference avoidance performance evaluation model:
step 3, proving the validity of the evaluation method; the evaluation index is designed firstly, then the index of the evaluation method is calculated, and the effectiveness of the evaluation method is verified.
8. The method for evaluating anti-interference performance of a satellite communication system according to claim 7, wherein the step 3 specifically comprises:
step 3.1: designing an evaluation index;
index 1: a correction decision coefficient (adjusted. R-squared) reflecting the degree of fitting of the model, ranging from 0 to 1, with higher values generally indicating more appropriate;
R 2 ＝E[(y-E[y])(y i -E[y i ])]
wherein n is the number of samples, p is the number of parameters, R 2 For determining coefficients, E is a mathematical expectation;
index 2: standard error (std err), which is the standard deviation of parameter statistics, reflects the degree of dispersion between parameter averages, and accounts for the magnitude of parameter sampling error, the index reflecting the level of accuracy of the parameter, the lower the standard error relative to the parameter value, the higher the accuracy;
wherein n is the number of samples,deviation between the parameter and the average value of the parameter;
step 3.2: verifying the validity of the evaluation method;
and (3) calculating the fitting index of the evaluation function according to the index given in the step (3.1).
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