Antenna far-field testing method, device and system based on flight compact range
By analyzing the similarity and coreness of different test parameters in the antenna focus on the test category, adaptive merges are carried out to form test clusters, which solves the problem of inaccurate test results caused by the traditional antenna detection method relying on a single physical parameter, and improves the accuracy and efficiency of test results.
Patent Information
- Application Number
- CN202510436618.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-09
- Publication Date
- 2025-06-13
- Estimated Expiration
- 2045-04-09
AI Technical Summary
The traditional antenna detection method simply relies on the physical parameters of the antenna, resulting in inaccurate test results and lack of multi-dimensional correlation analysis.
By acquiring several test categories of antennas, analyzing the parameter similarity between different test parameters, obtaining the similarity of test items and focusing on test core, and then performing adaptive merges to form test-oriented cluster clusters, and conducting antenna far-field testing.
It improves the accuracy of antenna test results, reduces the limitations during testing, and enhances the clarity of the impact on antenna test parameters.
Smart Images

Figure CN119959633B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of antenna testing, and particularly to a method, device and system for antenna far-field testing based on a flying compact range. Background Art
[0002] An antenna is an essential component in a wireless communication system, responsible for converting electrical signals into electromagnetic waves and vice versa. Its performance directly affects the transmission efficiency and quality of wireless signals. In various application scenarios such as mobile communication, satellite communication, radio and television, and radar, the design, manufacturing, and quality detection of antennas are particularly important. High-quality antennas can achieve optimal gain, directivity, and radiation efficiency, ensuring stable signal transmission and reception. In addition, poor antenna performance may lead to signal loss or interference, affecting the reliability and stability of the entire system. Therefore, quality detection is a key link to ensure that antennas meet relevant standards and regulations. Antenna far-field testing is an important method for evaluating antenna performance. In the prior art, for the far-field testing of antennas, a flying compact range is often used to simulate traditional far-field testing conditions in a smaller space to evaluate antenna performance.
[0003] In the antenna far-field testing based on a flying compact range, in order to judge the performance of an antenna, it often simply relies on physical parameters of the antenna, such as parameters that can be set by the antenna itself, such as the design frequency of the antenna, the antenna size, etc., to test the quality of the antenna; however, due to the relatively single change in the physical properties of the antenna itself, there are many limitations in actual quality testing, resulting in inaccurate test results. Summary of the Invention
[0004] The present invention provides a method, device and system for antenna far-field testing based on a flying compact range to solve the existing problems: The traditional antenna detection method usually simply relies on physical parameters of the antenna, such as parameters that can be set by the antenna itself, such as the design frequency of the antenna, the antenna size, etc., to test the quality of the antenna; however, due to the relatively single change in the physical properties of the antenna itself, there are many limitations in actual quality testing, resulting in inaccurate test results.
[0005] The method and system for antenna far-field testing based on a flying compact range of the present invention adopt the following technical solutions:
[0006] Including the following steps:
[0007] Obtain several antenna focus test categories of the antenna; the antenna focus test categories include multiple antenna test parameters;
[0008] Analyze the parameter similarity relationship between different antenna test parameters within the same antenna focused test category to obtain the similarity of antenna test items between different antenna test parameters; according to the similarity of antenna test items, analyze the connection situation of the focused test items between different antenna test parameters within the same antenna focused test category to obtain the focused test core degree of different antenna test parameters; according to the focused test core degree, compare the item relevance between different antenna focused test categories to obtain the antenna item focused linkage of different antenna test parameters;
[0009] According to the antenna item focused linkage, adaptively merge the antenna test parameters within different antenna focused test categories to obtain several test focus clustering clusters, and conduct antenna far-field testing.
[0010] Preferably, the method for obtaining the similarity of antenna test items is:
[0011] For any antenna focused test category, compare the variation amount between different antenna test parameters within the antenna focused test category to obtain the similarity of antenna test items between different antenna test parameters.
[0012] Preferably, after calculating the similarity of antenna test items, it further includes:
[0013] Normalize the similarity of antenna test items.
[0014] Preferably, the method for obtaining the focused test core degree is:
[0015] Take any antenna test parameter within any antenna focused test category as the target antenna test parameter, and obtain several control antenna test parameters of the target antenna test parameter; based on the connection relationship of the focus situation between the target antenna test parameter and other control antenna test parameters, obtain the focused test core degree of the target antenna test parameter.
[0016] Preferably, the method for obtaining the control antenna test parameter is:
[0017] Take all other antenna test parameters except the target antenna test parameter as the control antenna test parameters.
[0018] Preferably, the method for obtaining the antenna item focused linkage is:
[0019] Integrate the overall content of the focused test core degree within all antenna focused test categories to obtain the antenna item core independence of the antenna; calculate the difference in the antenna item core independence between different antenna focused test categories to obtain the antenna item focused linkage of different antenna test parameters.
[0020] Preferably, the method for obtaining the antenna item core independence is:
[0021] The mean value of the emphasis test core degrees of all antenna test parameters within all antenna emphasis test categories is used as the core independence degree of the antenna project.
[0022] Preferably, after calculating the emphasis linkage of the antenna project, it further includes:
[0023] Normalize the emphasis linkage of the antenna project.
[0024] An antenna far-field test system based on a flight compact range includes a memory, a processor, and a computer program stored in the memory and running on the processor. The processor executes the computer program to implement the steps of the above method.
[0025] An antenna far-field test device based on a flight compact range, the device includes:
[0026] An antenna emphasis test category acquisition module, a data command analysis module, and an antenna test module; wherein the antenna emphasis test category acquisition module is used to acquire several antenna emphasis test categories of the antenna, the data command analysis module realizes the steps of the antenna far-field test method based on the flight compact range by calling a computer program to obtain the core test category of the antenna, and the antenna test module performs antenna far-field tests according to the test emphasis clustering clusters.
[0027] The beneficial effects of the technical solution of the present invention are as follows: Analyze the parameter similarity relationship between different antenna test parameters within the same antenna emphasis test category to obtain the similarity of antenna test items between different antenna test parameters; better reflect the fluctuation law between the antenna test items contained in the corresponding antenna emphasis test category; according to the similarity of antenna test items, analyze the relationship between the emphasis test items of different antenna test parameters within the same antenna emphasis test category to obtain the emphasis test core degree of different antenna test parameters; make the degree of attention of the corresponding antenna test parameters within the same antenna emphasis test category more obvious; according to the emphasis test core degree, compare the project relevance between different antenna emphasis test categories to obtain the emphasis linkage of antenna projects of different antenna test parameters; make the influence of the antenna test items contained in the corresponding antenna emphasis test category on the antenna test results clear; the present invention adaptively classifies antenna test parameters by jointly analyzing the multi-dimensional correlation between antenna test items of physical parameters and test operation parameters, so that the antenna test equipment can select appropriate parameters for testing, reduce the limited quantity existing in actual quality testing on the basis of ensuring a certain test efficiency, and improve the accuracy of antenna test results. Description of the Drawings
[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0029] Figure 1 It is a flowchart of the steps of the antenna far-field test method based on a flying compact range of the present invention. Specific embodiments
[0030] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the drawings and preferred embodiments, details the specific embodiments, structures, features and effects of the antenna far-field test method, device and system based on the flying compact range proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.
[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.
[0032] The following specifically describes the specific solutions of the antenna far-field test method, device and system based on the flying compact range provided by the present invention in conjunction with the drawings.
[0033] Please refer to Figure 1 , which shows a flowchart of the steps of the antenna far-field test method based on a flying compact range provided by an embodiment of the present invention, including the following steps:
[0034] Step S001: Obtain several antenna focus test categories of the antenna; the antenna focus test categories include multiple antenna test parameters.
[0035] It should be noted that in the antenna far-field test based on the flying compact range, in order to judge the performance of the antenna, it often simply relies on the physical parameters of the antenna, such as the design frequency of the antenna, the antenna size and other parameters that can be set by the antenna itself for the antenna quality test; however, since the physical properties of the antenna itself change relatively monotonously, there are many limitations in the actual quality test, resulting in inaccurate test results.
[0036] In a specific implementation manner of the embodiment of the present invention, the method for obtaining the antenna focus test category is: obtain from the antenna database antenna physical parameters of physical parameter types and For the antenna operating parameters of several types of test operating parameters, both the antenna physical parameters and the antenna operating parameters are regarded as antenna parameters, and the normalized value of each antenna parameter is used as the antenna test parameter. In this embodiment, is used as an example for normalization processing, and the normalization function can be determined according to specific implementation situations.
[0037] Specifically, this embodiment takes three types of physical parameters, namely design frequency, antenna size, and design gain, and four types of test operating parameters, namely actual gain, standing wave ratio, lobe width, and radiation efficiency, 、 as examples for description. This embodiment does not make specific limitations, and 、 can be determined according to specific implementation situations.
[0038] Furthermore, a preset focus observation weight is assigned to each antenna test parameter ; the absolute value of the difference between different antenna test parameters is used as the distance metric, and the preset number of clusters . According to the distance metric and the number of clusters , several clustering clusters are obtained; and each clustering cluster is used as an antenna focus test category. Each antenna focus test category contains multiple antenna test parameters, and each antenna test parameter corresponds to an antenna test item. In addition, this embodiment takes as an example for description. This embodiment does not make specific limitations, and can be determined according to specific implementation situations.
[0039] Specifically, the preset focus observation weight assigned to each antenna test parameter can be determined according to specific implementation situations, and this embodiment does not make specific limitations; the process of obtaining clustering clusters according to the distance metric and the number of clusters is well-known content of the k-means clustering algorithm, and this embodiment will not elaborate.
[0040] So far, several antenna focus test categories of the antenna are obtained through the above method.
[0041] Step S002: Analyze the parameter similarity relationship between different antenna test parameters within the same antenna focus test category to obtain the similarity of antenna test items between different antenna test parameters; according to the similarity of antenna test items, analyze the connection situation of the focus test items between different antenna test parameters within the same antenna focus test category to obtain the focus test core degree of different antenna test parameters; according to the focus test core degree, compare the item relevance between different antenna focus test categories to obtain the antenna item focus linkage of different antenna test parameters.
[0042] It should be noted that traditional antenna detection methods usually solely rely on the physical parameters of the antenna. Limited by the relatively fixed physical properties of the antenna itself, the accuracy of the corresponding antenna test results will be reduced. In the actual environment, there is also a type of operational test parameter of computational experiment for the antenna itself. For example, parameters such as standing wave ratio and radiation efficiency are all this type of operational test parameters. Compared with physical parameters, this type of operational test parameters has a relatively flexible numerical fluctuation range and has more evaluation dimensions related to the actual usage quality of the antenna, but it will greatly increase the test efficiency of the antenna. Considering the actual test efficiency and the accuracy of the test results, after analyzing the data change relationship between physical parameters and operational test parameters, the correlation between antenna test items represented by different antenna test parameters can be further analyzed, and the category of antenna test items that should be mainly focused on in the current situation can be adaptively divided, thereby improving the accuracy of the test results.
[0043] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the similarity of antenna test items is as follows: for any antenna focused test category, compare the change amounts between different antenna test parameters within the antenna focused test category to obtain the similarity of antenna test items between different antenna test parameters. The specific process is as follows:
[0044] Take the inverse proportional normalization value of the absolute value of the difference between any two antenna test parameters in the antenna focused test category as the similarity of antenna test items between any two antenna test parameters.
[0045] It should be especially noted that in this embodiment, a model is used to present the inverse proportional relationship and normalization processing, is the input of the model, and the implementer can select the inverse proportional function and normalization function according to the actual situation.
[0046] It should be noted that if the similarity of antenna test items is greater, it means that the numerical values of the antenna test items represented by different antenna test parameters within the same antenna focused test category are closer, reflecting that the fluctuation laws between the antenna test items included in the corresponding antenna focused test category are more similar.
[0047] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the focus test core degree is as follows: take any one antenna test parameter within any one antenna focused test category as the target antenna test parameter, and obtain a number of control antenna test parameters of the target antenna test parameter; according to the relationship between the focus situation of the target antenna test parameter and other control antenna test parameters, obtain the focus test core degree of different antenna test parameters. The specific process is as follows:
[0048] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the control antenna test parameters is: using all antenna test parameters other than the target antenna test parameters as the control antenna test parameters.
[0049] Further, preset a similarity of antenna test items , and use the control antenna test parameters with a similarity of antenna test items greater than within the antenna focused test category as the reference test parameters; use the absolute value of the difference in the similarity of antenna test items between different reference test parameters as the distance metric, preset the number of clustering clusters , and according to the distance metric and the number of clustering clusters 1, obtain several clustering clusters, and use each clustering cluster as the focused clustering cluster of the target antenna test parameters. Here, this embodiment takes as an example for description, and this embodiment does not make specific limitations, where can be determined according to specific implementation situations.
[0050] Further, as an example, the focused test core degree can be calculated by the following formula:
[0051]
[0052] In the formula, represents the focused test core degree of the target antenna test parameters; represents the number of all focused clustering clusters of the target antenna test parameters; represents the number of remaining focused clustering clusters except the th focused clustering cluster; represents the th focused clustering cluster except the th focused clustering cluster, and the covariance value between the th focused clustering cluster; represents the variance of the similarity of antenna test items within the th focused clustering cluster; represents the variance of the similarity of antenna test items within the th focused clustering cluster except the th focused clustering cluster.
[0053] It should be noted that if the focused test core degree is larger, it indicates that the corresponding antenna test parameters are more closely related to other antenna test parameters within the same antenna focused test category, and reflects that the corresponding antenna test parameters are more concerned within the same antenna focused test category.
[0054] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the emphasis linkage of the antenna item is as follows: obtaining the core independence degree of the antenna item of the antenna by comprehensively calculating the overall content of the emphasis test core degree in all the emphasis test categories of the antenna; calculating the difference in the core independence degree of the antenna item between different emphasis test categories of the antenna to obtain the emphasis linkage of the antenna item of different antenna test parameters. The specific process is as follows:
[0055] Preferably, in some implementation manners of the embodiments of the invention, the method for obtaining the core independence degree of the antenna item is: taking the mean value of the emphasis test core degrees of all antenna test parameters in all emphasis test categories of the antenna as the core independence degree of the antenna item.
[0056] Further, as an example, the emphasis linkage of the antenna item can be calculated by the following formula:
[0057]
[0058] In the formula, represents the emphasis linkage of the antenna item of the th antenna test parameter in the th emphasis test category of the antenna; represents the number of remaining antenna test parameters except the th antenna test parameter in the th emphasis test category of the antenna; represents the emphasis linkage of the antenna item of the th antenna test parameter in the th emphasis test category of the antenna; represents the core independence degree of the antenna item; represents the th antenna test parameter in the th emphasis test category of the antenna; represents the th antenna test parameter except the th antenna test parameter in the th emphasis test category of the antenna; represents taking the absolute value.
[0059] It should be noted that the greater the emphasis linkage of the antenna item, the more relevant the test attention situation of the antenna test items contained between the corresponding emphasis test category of the antenna and other emphasis test categories of the antenna, and it reflects that the influence of the antenna test items contained in the corresponding emphasis test category of the antenna on the antenna test result is more important.
[0060] Thus, the emphasis linkage of the antenna item of different antenna test parameters is obtained by the above method.
[0061] Step S003: According to the linkage emphasis of antenna projects, adaptively merge the antenna test parameters within different antenna emphasis test categories to obtain several test emphasis clustering clusters, and perform antenna far-field tests.
[0062] Preferably, in a specific implementation manner of the embodiment of the present invention, the method for obtaining the test emphasis clustering clusters is as follows: Take the mean value of all emphasis observation weights within each antenna emphasis test category as the category core emphasis of each antenna emphasis test category; Take any antenna test parameter within any antenna emphasis test category as an example, and multiply the category core emphasis of this antenna emphasis test category by the antenna project linkage emphasis of this antenna test parameter as the test emphasis priority of this antenna test parameter.
[0063] Further, take the absolute value of the difference in test emphasis priority between different antenna test parameters as the distance metric, take the absolute value of the difference in antenna test project similarity between different reference test parameters as the distance metric, and preset the number of final clustering clusters According to the distance metric and the number of clustering clusters Obtain several clustering clusters, and take each clustering cluster as a test emphasis clustering cluster; Perform antenna far-field tests according to the test emphasis clustering clusters. Here, this embodiment takes as an example for description, and this embodiment does not make specific limitations, where can be determined according to the specific implementation situation.
[0064] It should be noted that the process of performing antenna far-field tests on antenna test data is a well-known technology, and this embodiment will not elaborate.
[0065] So far, this embodiment is completed.
[0066] Another embodiment of the present invention provides an antenna far-field test system based on a flight compact range. The system includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the above method steps S001 - S003 are implemented.
[0067] Still another embodiment of the present invention provides an antenna far-field test device based on a flight compact range. The device includes an antenna emphasis test category acquisition module, a data command analysis module, and an antenna test module; When the device calls the computer program through the three modules, the above method steps S001 - S003 are implemented.
[0068] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and should all be included within the protection scope of the present application.
Claims
1. The antenna far-field test method based on the flight compact range is characterized by: The method comprises the following steps: Acquire a plurality of antenna focus test categories of the antenna; the antenna focus test category includes a plurality of antenna test parameters; Analyze the parameter similarity between different antenna test parameters in the same antenna emphasis test category to obtain the antenna test item similarity between different antenna test parameters; analyze the connection between the emphasis test items between different antenna test parameters in the same antenna emphasis test category based on the antenna test item similarity to obtain the emphasis test coreness of different antenna test parameters; compare the item correlation between different antenna emphasis test categories based on the emphasis test coreness to obtain the antenna item emphasis linkage of different antenna test parameters; According to the linkage of antenna project emphasis, the antenna test parameters in different antenna emphasis test categories are adaptively merged to obtain several test emphasis clusters, and the antenna far-field test is performed; The method for obtaining the test core degree is as follows: Taking any antenna test parameter in any antenna emphasis test category as the target antenna test parameter, obtaining several reference antenna test parameters of the target antenna test parameter; obtaining the emphasis test coreness of the target antenna test parameter according to the relationship between the emphasis of the target antenna test parameter and other reference antenna test parameters; The antenna project focuses on the method of obtaining linkage: The overall content of the core degree of emphasis testing in all antenna emphasis testing categories is integrated to obtain the antenna project core independence of the antenna; the difference in the core independence of antenna projects between different antenna emphasis testing categories is calculated to obtain the antenna project emphasis linkage of different antenna test parameters; The method for obtaining the core independence of the antenna project is: The average of the focus test coreness of all antenna test parameters in all antenna focus test categories is taken as the core independence of the antenna project.
2. The antenna far-field test method based on a flight compact range according to claim 1 is characterized in that: The method for obtaining the similarity of the antenna test items is as follows: For any antenna emphasis test category, the changes between different antenna test parameters are compared within the antenna emphasis test category to obtain the similarity of antenna test items between different antenna test parameters.
3. The antenna far-field testing method based on a flight compact range according to claim 1 is characterized in that: After calculating the similarity of antenna test items, it also includes: Normalize the similarity of antenna test items.
4. According to claim 1, the antenna far-field test method based on the flight compact range is characterized in that: The method for obtaining the control antenna test parameters is: All antenna test parameters except the target antenna test parameters are used as control antenna test parameters.
5. According to claim 1, the antenna far-field test method based on the flight compact range is characterized in that: After calculating the antenna project focusing on linkage, it also includes: Normalize the antenna project with an emphasis on linkage.
6. A far-field antenna test system based on a flight compact range, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the antenna far-field testing method based on a flight compact range as described in any one of claims 1 to 5 are implemented.
7. Antenna far-field test equipment based on flight compact range, characterized in that: The device comprises: An antenna focus test category acquisition module, a data command analysis module and an antenna test module; wherein the antenna focus test category acquisition module is used to obtain several antenna focus test categories of the antenna, the data command analysis module implements the steps of the antenna far-field test method based on the flight compression range as described in any one of claims 1-5 by calling a computer program to obtain the antenna test core category, and the antenna test module performs antenna far-field testing according to the test focus clustering clusters.
Citation Information
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