Stability test management method and system for microwave power amplifier

Abstract

The invention discloses a stability test management method and system for a microwave power amplifier, and relates to the field of stability testing of microwave power amplifiers, and the method comprises the steps: constructing an S parameter collection environment; analyzing the influence of different environments on the S parameter, and establishing a microwave amplifier adjustment feasibility scheme; setting a scheme for testing the stability of different types of microwave amplifiers according to the stability testing requirements of the microwave amplifiers; screening the most suitable microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme; and a man-machine interaction platform is established and used for inquiring the microwave amplifier adjustment feasibility scheme and the microwave amplifier stability test scheme and displaying and recording related information of the microwave amplifier stability test. The microwave amplifier stability testing system has the advantages that the testing efficiency is effectively improved, the testing mode and testing result analysis of microwave amplifier stability testing are inquired through the man-machine interaction platform, and the testing intelligence and convenience are greatly improved.

Description

Technical Field

[0001] The invention relates to the field of stability testing of microwave power amplifiers, and in particular to a stability testing management method and system for microwave power amplifiers. Background Art

[0002] Microwave amplifiers play a very important role in microwave communications, radar, satellite communications, etc. Stable microwave power amplifiers can ensure stable signal transmission quality in complex environments and avoid signal distortion, attenuation or reflection. An efficient microwave power amplifier stability test management system can help improve the intelligence and convenience of microwave power amplifier stability testing, provide timely feedback on microwave power amplifier stability test results and system analysis, and increase the safety and reliability of microwave amplifiers. Therefore, effective microwave power amplifier stability test management has far-reaching significance in the field of electronic engineering. It not only helps to ensure product quality and reliability, optimize production processes and processes, enhance R&D capabilities and innovation levels, meet regulatory and standard requirements, but also reduce the problem of microwave power amplifier stability testing relying on subjective experience.

[0003] The existing microwave power amplifier stability test mainly relies on subjective experience and fixed test modes, which means that the microwave power amplifier stability test requires certain test experience, and the test process and analysis of test results are relatively complicated. Secondly, the fixed test mode is not conducive to the stability test of the microwave power amplifier in a complex environment, resulting in incomplete stability test results, thus affecting the final microwave power amplifier stability performance. Summary of the invention

[0004] In order to solve the above technical problems, a stability test management method and system for a microwave power amplifier are provided. The technical solution solves the problem proposed in the above background technology that relies on subjective experience and a fixed test mode, resulting in that the stability test of the microwave power amplifier requires certain test experience, and the test process and analysis of the test results are relatively complicated. Secondly, the fixed test mode is not conducive to the stability test of the microwave power amplifier in a complex environment, resulting in incomplete stability test results, thereby affecting the final stability performance of the microwave power amplifier.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A stability test management method for a microwave power amplifier, comprising:

[0007] Based on the test method of microwave amplifier stability, an S-parameter acquisition environment is constructed;

[0008] Use simulation software to conduct simulation experiments, analyze the impact of different environments on S parameters, and establish a feasible solution for adjusting microwave amplifiers;

[0009] According to the microwave amplifier stability test requirements, set up a test plan for the stability of different types of microwave amplifiers;

[0010] Based on the decision tree model, it is used to screen the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan;

[0011] A human-computer interaction platform is established to query the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and to display and record relevant information of the microwave amplifier stability test.

[0012] Preferably, the test method based on the stability of the microwave amplifier and the construction of the S parameter acquisition environment specifically include:

[0013] According to the design requirements of different microwave amplifiers, confirm the relevant data types of S parameters that need to be collected;

[0014] According to the type of S parameter data to be collected, set up the corresponding test equipment and build the S parameter collection environment.

[0015] Preferably, the use of simulation software to conduct simulation experiments, analyze the impact of different environments on S parameters, and establish a feasible solution for adjusting the microwave amplifier specifically includes:

[0016] Based on big data, we can obtain the performance indicators of stability and the standard value range of S parameters for different types of microwave amplifiers;

[0017] Use simulation software to carry out simulation experiments to simulate the change trend of S parameters and the change range of S parameter values ​​under different environments;

[0018] Based on historical test data and big data analysis, determine the changes in different parameter factors in S parameters corresponding to the stability issues of different types of microwave amplifiers;

[0019] Among them, the parameter factors in the S parameters include: input reflection coefficient S 11 , output reflection coefficient S 22 , forward transmission coefficient S 21 and the reverse transmission coefficient S 12 ;

[0020] According to the microwave amplifier stability problem fed back by S parameters, corresponding standard solutions are set and a feasible plan for microwave amplifier adjustment is established.

[0021] Preferably, the scheme for testing the stability of different types of microwave amplifiers according to the microwave amplifier stability test requirements specifically includes:

[0022] According to the requirements of microwave amplifier stability on accuracy, visualization and environmental adaptability, different test schemes are set for conventional k-Δ test method, μ test method and Smith chart test method;

[0023] In the case where the environment is relatively simple and the circuit is stable in both open circuit and short circuit, the k-Δ test method is suitable for testing the stability of the microwave amplifier.

[0024] For microwave amplifier stability tests that require more stringent and accurate tests, the μ test method is suitable;

[0025] The Smith chart test method is suitable for relatively simple environments and when the amplifier stability needs to be intuitively displayed.

[0026] According to other requirements of microwave amplifier stability test, a combined test method of the three is adopted.

[0027] Preferably, according to other requirements of the microwave amplifier stability test, the three combined test methods may specifically include:

[0028] According to the microwave amplifier stability test requirements, feature items using different test methods are extracted;

[0029] Based on the DS evidence theory principle, determine the weight value of a certain test method;

[0030] According to the actual situation analysis and historical data feedback, set the weight threshold for whether to adopt this test method;

[0031] By comparing the weight value of a test method calculated by the DS evidence theory with the weight threshold of the test method, it is determined whether the calculated value is greater than the weight threshold. If so, it means that the test method is adopted, otherwise, it means that the test method is not adopted;

[0032] The DS evidence theory expression is:

[0033]

[0034] Among them, m(A) is the credibility of the Ath test method, K is the normalization constant, and m i (A i ) is the probability of using the i-th feature item of the A-th test method, and n is the number of feature items using the A-th test method.

[0035] Preferably, the decision tree model-based method for screening the most appropriate microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme specifically includes:

[0036] According to the content of the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, a training sample set is established.

[0037] Among them, the microwave amplifier type, different environmental factors and stability test requirements are used as input items, while the microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are used as result items;

[0038] Based on the training sample set, the Gini index of different categories under the same input item is calculated, where different categories refer to: microwave amplifier type, different environmental factors and specific contents in stability test requirements;

[0039] Calculate the Gini index of a certain category based on the Gini index of different categories under the same input item;

[0040] According to the decision tree model, by inputting the relevant information of the microwave amplifier stability test, the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are screened;

[0041] The expression for calculating the Gini index of different categories under the same input item specifically includes:

[0042]

[0043] In the formula, D is the training sample set, Gini(D) is the Gini index of different categories under the same input item, and C k is the number of sample groups of the kth category, n is the number of different categories under the same input item, and k is the number of different categories under the same input item;

[0044] The expression for calculating the Gini index of a certain category is:

[0045]

[0046] Wherein, Gini(D, A=i) is the Gini index of category i under the same input item A, i is the i-th category under the same input item A, D1 is the number of sample groups of the i-th category under the same input item A, D2 is the total number of remaining sample groups after removing the sample groups of the i-th category under the same input item A, Gini(D1) is the Gini index of the i-th category under the same input item A, and Gini(D2) is the total Gini index of the remaining samples after removing the i-th category under the same input item A.

[0047] Preferably, the establishment of a human-computer interaction platform for querying a microwave amplifier adjustment feasibility plan and a microwave amplifier stability test plan, and displaying and recording relevant information of the microwave amplifier stability test specifically includes:

[0048] Establish a human-computer interaction platform, input the corresponding microwave power amplifier stability test requirements through the platform, and query the microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan;

[0049] According to the search results of the microwave amplifier stability test plan, the test method in the plan is used to carry out relevant stability tests;

[0050] According to the microwave amplifier stability test results, compare the microwave amplifier adjustment feasibility plan, analyze the test results, and determine whether the microwave amplifier stability meets the test requirements of the test method;

[0051] If yes, it indicates that the stability performance of the microwave amplifier is stable. If no, it indicates that the stability performance of the microwave amplifier is unstable. It is necessary to analyze the influence of different parameter factors in the S parameters on the stability performance of the microwave amplifier in combination with the content of the microwave amplifier adjustment feasibility plan, and find corresponding solutions;

[0052] The human-computer interactive platform is used to display and record relevant information of the microwave amplifier stability test, which is convenient for subsequent model optimization and record query.

[0053] Furthermore, a stability test management system for a microwave power amplifier is proposed, which is used to implement the stability test management method for a microwave power amplifier as described above, comprising:

[0054] A data acquisition module, wherein the data acquisition module is used to construct an S parameter acquisition environment based on a microwave amplifier stability test method;

[0055] A data processing module, wherein the data processing module is used to carry out simulation experiments using simulation software, analyze the influence of different environments on S parameters, and establish a feasible scheme for adjusting microwave amplifiers; according to the test requirements for microwave amplifier stability, set up a scheme for testing the stability of different types of microwave amplifiers; based on a decision tree model, is used to screen the most appropriate feasible scheme for adjusting microwave amplifiers and the microwave amplifier stability test scheme;

[0056] An interactive platform module is used to establish a human-computer interactive platform for querying a microwave amplifier adjustment feasibility plan and a microwave amplifier stability test plan, and displaying and recording relevant information of the microwave amplifier stability test.

[0057] Preferably, the data processing module specifically includes:

[0058] A stability adjustment unit, wherein the stability adjustment unit is used to carry out simulation experiments using simulation software, analyze the influence of different environments on S parameters, and establish a feasible adjustment plan for the microwave amplifier;

[0059] A test scheme setting unit, wherein the test scheme setting unit is used to set a scheme for testing the stability of different types of microwave amplifiers according to the test requirements of the microwave amplifier stability;

[0060] A scheme screening unit is used to screen the most suitable microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme based on a decision tree model.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] By analyzing the relevant data of S parameters, the stability problem of the microwave amplifier is judged according to the changes in the relevant data of the micro-S parameters, the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan are set, and the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are screened out through the decision tree model. The human-computer interaction platform is used to input the relevant content of the microwave amplifier stability test, query the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and display and record the relevant information of the microwave amplifier stability test, thereby effectively improving the efficiency of the microwave amplifier stability test and greatly improving the intelligence and convenience of the test. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flow chart of a stability test management method for a microwave power amplifier of the present invention;

[0064] Figure 2 A flow chart of a scheme for testing the stability of different types of microwave amplifiers according to the microwave amplifier stability test requirements of the present invention;

[0065] Figure 3 The present invention is a flow chart of a decision tree model for screening the most suitable microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme. DETAILED DESCRIPTION

[0066] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0067] Reference Figure 1 As shown, a stability test management method for a microwave power amplifier includes:

[0068] Based on the test method of microwave amplifier stability, an S-parameter acquisition environment is constructed;

[0069] Use simulation software to conduct simulation experiments, analyze the impact of different environments on S parameters, and establish a feasible solution for adjusting microwave amplifiers;

[0070] According to the microwave amplifier stability test requirements, set up a test plan for the stability of different types of microwave amplifiers;

[0071] Based on the decision tree model, it is used to screen the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan;

[0072] A human-computer interaction platform is established to query the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and to display and record relevant information of the microwave amplifier stability test.

[0073] It can be understood that this scheme analyzes the relevant data of S parameters, uses simulation software to carry out simulation experiments, judges the stability problem of the microwave amplifier according to the relevant data changes of the micro S parameters, sets up the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and screens out the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan through the decision tree model, uses the human-computer interaction platform to input the relevant content of the microwave amplifier stability test, queries the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and displays and records the relevant information of the microwave amplifier stability test.

[0074] Reference Figure 2 As shown, the scheme for testing the stability of different types of microwave amplifiers according to the microwave amplifier stability test requirements specifically includes:

[0075] According to the requirements of microwave amplifier stability on accuracy, visualization and environmental adaptability, different test schemes are set for conventional k-Δ test method, μ test method and Smith chart test method;

[0076] In the case where the environment is relatively simple and the circuit is stable in both open circuit and short circuit, the k-Δ test method is suitable for testing the stability of the microwave amplifier.

[0077] For microwave amplifier stability tests that require more stringent and accurate tests, the μ test method is suitable;

[0078] The Smith chart test method is suitable for relatively simple environments and when the amplifier stability needs to be intuitively displayed.

[0079] According to other requirements of microwave amplifier stability test, a combined test method of the three is adopted;

[0080] According to other requirements of microwave amplifier stability test, the three combined test methods can be used, including:

[0081] According to the microwave amplifier stability test requirements, feature items using different test methods are extracted;

[0082] Based on the DS evidence theory principle, determine the weight value of a certain test method;

[0083] According to the actual situation analysis and historical data feedback, set the weight threshold for whether to adopt this test method;

[0084] By comparing the weight value of a test method calculated by the DS evidence theory with the weight threshold of the test method, it is determined whether the calculated value is greater than the weight threshold. If so, it means that the test method is adopted, otherwise, it means that the test method is not adopted;

[0085] The DS evidence theory expression is:

[0086]

[0087] Among them, m(A) is the credibility of the Ath test method, K is the normalization constant, and m i (A i ) is the probability of using the i-th feature item of the A-th test method, and n is the number of feature items using the A-th test method.

[0088] It can be understood that the conventional microwave amplifier stability test methods include the k-Δ test method, the μ test method and the Smith chart test method, which have different advantages and disadvantages, and the test results of these three test methods can be obtained through the relevant data of the S parameters. Therefore, the DS evidence theory principle is used to input the characteristic items required for the microwave amplifier stability test on the human-computer interaction platform to determine the test method for this test, thereby ensuring the standardization and reliability of the test.

[0089] Reference Figure 3 As shown, the decision tree model-based method for screening the most appropriate microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme specifically includes:

[0090] According to the content of the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, a training sample set is established.

[0091] Among them, the microwave amplifier type, different environmental factors and stability test requirements are used as input items, while the microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are used as result items;

[0092] Based on the training sample set, the Gini index of different categories under the same input item is calculated, where different categories refer to: microwave amplifier type, different environmental factors and specific contents in stability test requirements;

[0093] Calculate the Gini index of a certain category based on the Gini index of different categories under the same input item;

[0094] According to the decision tree model, by inputting the relevant information of the microwave amplifier stability test, the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are screened;

[0095] The expression for calculating the Gini index of different categories under the same input item specifically includes:

[0096]

[0097] In the formula, D is the training sample set, Gini(D) is the Gini index of different categories under the same input item, and C k is the number of sample groups of the kth category, n is the number of different categories under the same input item, and k is the number of different categories under the same input item;

[0098] The expression for calculating the Gini index of a certain category is:

[0099]

[0100] Wherein, Gini(D, A=i) is the Gini index of category i under the same input item A, i is the i-th category under the same input item A, D1 is the number of sample groups of the i-th category under the same input item A, D2 is the total number of remaining sample groups after removing the sample groups of the i-th category under the same input item A, Gini(D1) is the Gini index of the i-th category under the same input item A, and Gini(D2) is the total Gini index of the remaining samples after removing the i-th category under the same input item A.

[0101] It is understandable that the microwave amplifier type, different environmental factors and stability test requirements have different influences on the results of the microwave amplifier stability test. Through the analysis of the microwave amplifier type, different environmental factors and stability test requirements and the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan in the early stage, a decision-making method with related connections is established. Therefore, through the decision tree model, by calculating the Gini coefficients of different categories of the same input item, the weight of selecting the category is determined, so as to effectively screen out the most suitable microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan, which is conducive to improving the convenience and intelligence of microwave amplifier stability detection.

[0102] Further, based on the same inventive concept as the above-mentioned stability test management method for microwave power amplifiers, the present solution also proposes a stability test management system for microwave power amplifiers, comprising:

[0103] A data acquisition module, wherein the data acquisition module is used to construct an S parameter acquisition environment based on a microwave amplifier stability test method;

[0104] A data processing module, wherein the data processing module is used to carry out simulation experiments using simulation software, analyze the influence of different environments on S parameters, and establish a feasible scheme for adjusting microwave amplifiers; according to the test requirements for microwave amplifier stability, set up a scheme for testing the stability of different types of microwave amplifiers; based on a decision tree model, is used to screen the most appropriate feasible scheme for adjusting microwave amplifiers and the microwave amplifier stability test scheme;

[0105] An interactive platform module is used to establish a human-computer interactive platform for querying a microwave amplifier adjustment feasibility plan and a microwave amplifier stability test plan, and displaying and recording relevant information of the microwave amplifier stability test.

[0106] The data processing module includes:

[0107] A stability adjustment unit, wherein the stability adjustment unit is used to carry out simulation experiments using simulation software, analyze the influence of different environments on S parameters, and establish a feasible adjustment plan for the microwave amplifier;

[0108] A test scheme setting unit, wherein the test scheme setting unit is used to set a scheme for testing the stability of different types of microwave amplifiers according to the test requirements of the microwave amplifier stability;

[0109] A scheme screening unit is used to screen the most suitable microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme based on a decision tree model.

[0110] In summary, the advantages of the present invention are: by analyzing the relevant data of the S parameters, judging the stability problem of the microwave amplifier according to the change of the relevant data of the micro S parameters, setting the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and screening out the most suitable microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan through a decision tree model, using a human-computer interaction platform to input the relevant content of the microwave amplifier stability test, querying the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and displaying and recording the relevant information of the microwave amplifier stability test, thereby effectively improving the efficiency of the microwave amplifier stability test, and greatly improving the intelligence and convenience of the test.

[0111] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A stability test management method for a microwave power amplifier, characterized in that: include: Based on the test method of microwave amplifier stability, an S-parameter acquisition environment is constructed; Use simulation software to conduct simulation experiments, analyze the impact of different environments on S parameters, and establish a feasible solution for microwave amplifier adjustment; According to the microwave amplifier stability test requirements, set up a plan to test the stability of different types of microwave amplifiers; Based on the decision tree model, it is used to screen the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan; A human-computer interactive platform is established to query the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, and to display and record relevant information of the microwave amplifier stability test.

2. A stability test management method for a microwave power amplifier according to claim 1, characterized in that: The test method based on the stability of the microwave amplifier and the construction of the S parameter acquisition environment specifically include: According to the design requirements of different microwave amplifiers, confirm the relevant data types of S parameters that need to be collected; According to the type of S parameter data to be collected, set up the corresponding test equipment and build the S parameter collection environment.

3. A stability test management method for a microwave power amplifier according to claim 2, characterized in that: The simulation experiment is carried out using simulation software to analyze the influence of different environments on S parameters and establish a feasible adjustment plan for microwave amplifiers, which specifically includes: Based on big data, we can obtain the performance indicators of stability and the standard value range of S parameters for different types of microwave amplifiers; Use simulation software to carry out simulation experiments to simulate the change trend of S parameters and the change range of S parameter values ​​under different environments; Based on historical test data and big data analysis, determine the changes in different parameter factors in S parameters corresponding to the stability issues of different types of microwave amplifiers; Among them, the parameter factors in the S parameters include: input reflection coefficient S 11 , output reflection coefficient S 22 , forward transmission coefficient S 21 and the reverse transmission coefficient S 12 ; According to the microwave amplifier stability problem fed back by S parameters, corresponding standard solutions are set and a feasible plan for microwave amplifier adjustment is established.

4. A stability test management method for a microwave power amplifier according to claim 3, characterized in that: The scheme for testing the stability of different types of microwave amplifiers according to the microwave amplifier stability test requirements specifically includes: According to the requirements of microwave amplifier stability on accuracy, visualization and environmental adaptability, different test schemes are set for conventional k-Δ test method, μ test method and Smith chart test method; In the case where the environment is relatively simple and the circuit is stable in both open circuit and short circuit, the k-Δ test method is suitable for testing the stability of the microwave amplifier. For microwave amplifier stability tests that require more stringent and accurate tests, the μ test method is suitable; The Smith chart test method is suitable for relatively simple environments and when the amplifier stability needs to be intuitively displayed. According to other requirements of microwave amplifier stability test, a combined test method of the three is adopted.

5. A stability test management method for a microwave power amplifier according to claim 4, characterized in that: According to other requirements of microwave amplifier stability test, the three combined test methods can be used, including: According to the microwave amplifier stability test requirements, feature items using different test methods are extracted; Based on the DS evidence theory principle, determine the weight value of a certain test method; According to the actual situation analysis and historical data feedback, set the weight threshold for whether to adopt this test method; By comparing the weight value of a test method calculated by the DS evidence theory with the weight threshold of the test method, it is determined whether the calculated value is greater than the weight threshold. If so, it means that the test method is adopted, otherwise, it means that the test method is not adopted; The DS evidence theory expression is: Among them, m(A) is the credibility of the Ath test method, K is the normalization constant, and m i (A i ) is the probability of using the i-th feature item of the A-th test method, and n is the number of feature items using the A-th test method.

6. A stability test management method for a microwave power amplifier according to claim 5, characterized in that: The decision tree model-based method for screening the most appropriate microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme specifically includes: According to the content of the microwave amplifier adjustment feasibility plan and the microwave amplifier stability test plan, a training sample set is established. Among them, the microwave amplifier type, different environmental factors and stability test requirements are used as input items, while the microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are used as result items; Based on the training sample set, the Gini index of different categories under the same input item is calculated, where the different categories refer to: microwave amplifier type, different environmental factors and specific contents in stability test requirements; Calculate the Gini index of a certain category based on the Gini index of different categories under the same input item; According to the decision tree model, by inputting the relevant information of the microwave amplifier stability test, the most appropriate microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan are screened; The expression for calculating the Gini index of different categories under the same input item specifically includes: In the formula, D is the training sample set, Gini(D) is the Gini index of different categories under the same input item, and C k is the number of sample groups of the kth category, n is the number of different categories under the same input item, and k is the number of different categories under the same input item; The expression for calculating the Gini index of a certain category is: Wherein, Gini(D, A=i) is the Gini index of category i under the same input item A, i is the i-th category under the same input item A, D1 is the number of sample groups of the i-th category under the same input item A, D2 is the total number of remaining sample groups after removing the sample groups of the i-th category under the same input item A, Gini(D1) is the Gini index of the i-th category under the same input item A, and Gini(D2) is the total Gini index of the remaining samples after removing the i-th category under the same input item A.

7. A stability test management method for a microwave power amplifier according to claim 6, characterized in that: The establishment of a human-computer interaction platform for querying a microwave amplifier adjustment feasibility plan and a microwave amplifier stability test plan, and displaying and recording relevant information of the microwave amplifier stability test specifically includes: Establish a human-computer interaction platform, input the corresponding microwave power amplifier stability test requirements through the platform, and query the microwave amplifier adjustment feasibility plan and microwave amplifier stability test plan; According to the search results of the microwave amplifier stability test plan, the test method in the plan is used to carry out relevant stability tests; According to the microwave amplifier stability test results, compare the microwave amplifier adjustment feasibility plan, analyze the test results, and determine whether the microwave amplifier stability meets the test requirements of the test method; If yes, it indicates that the stability performance of the microwave amplifier is stable. If no, it indicates that the stability performance of the microwave amplifier is unstable. It is necessary to analyze the influence of different parameter factors in the S parameters on the stability performance of the microwave amplifier in combination with the content of the microwave amplifier adjustment feasibility plan, and find corresponding solutions; The human-computer interactive platform is used to display and record relevant information of the microwave amplifier stability test, which is convenient for subsequent model optimization and record query.

8. A stability test management system for a microwave power amplifier, used to implement the stability test management method for a microwave power amplifier as claimed in any one of claims 1 to 7, characterized in that: include: A data acquisition module, wherein the data acquisition module is used to construct an S parameter acquisition environment based on a microwave amplifier stability test method; A data processing module, wherein the data processing module is used to carry out simulation experiments using simulation software, analyze the influence of different environments on S parameters, and establish a feasible scheme for adjusting microwave amplifiers; according to the test requirements for microwave amplifier stability, set up a scheme for testing the stability of different types of microwave amplifiers; based on a decision tree model, is used to screen the most appropriate feasible scheme for adjusting microwave amplifiers and the microwave amplifier stability test scheme; An interactive platform module is used to establish a human-computer interactive platform for querying a microwave amplifier adjustment feasibility plan and a microwave amplifier stability test plan, and displaying and recording relevant information of the microwave amplifier stability test.

9. A stability test management system for a microwave power amplifier according to claim 8, characterized in that: The data processing module specifically includes: A stability adjustment unit, wherein the stability adjustment unit is used to carry out simulation experiments using simulation software, analyze the influence of different environments on S parameters, and establish a feasible adjustment plan for the microwave amplifier; A test scheme setting unit, wherein the test scheme setting unit is used to set a scheme for testing the stability of different types of microwave amplifiers according to the test requirements of the microwave amplifier stability; A scheme screening unit is used to screen the most suitable microwave amplifier adjustment feasibility scheme and microwave amplifier stability test scheme based on a decision tree model.

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