Radar cross section test data processing method, device and equipment and storage medium

Abstract

The application discloses a radar scattering cross section test data processing method and device, equipment and a storage medium. The method corrects the cylindrical near-field RCS test data, eliminates the deviation of the test system itself, and improves the accuracy of the test data. Further, in the environment where the size of the test target is large and the strong scattering source of non-target is introduced, the clutter filtering is used to effectively eliminate the scattering interference of the non-test target, and the real test result of the test target is obtained, and the accuracy of the test data is improved. Meanwhile, the transmission characteristics of the cylindrical wave are equivalent to the spherical wave in the horizontal component and equivalent to the plane wave in the vertical component. After the data is calibrated and the clutter is filtered, the far-field conversion is performed, and the far-field test data with high accuracy meeting the actual requirements is obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of microwave testing, in particular to a radar cross section test data processing method and device, equipment and a storage medium. BACKGROUND

[0002] Radar Cross Section (RCS) is a physical quantity representing the echo intensity of a target under radar wave irradiation. The RCS in the general sense refers to the characteristic value under the far-field condition, i.e., the plane wave irradiation. Under the far-field condition, the RCS is independent of the distance of the radar to the target, and is a function of the target characteristics (frequency, polarization and electromagnetic wave irradiation angle). To measure the far-field RCS, the classical far-field condition should be met. However, for the RCS measurement of an aircraft, the traditional far-field test method needs to build a large test site, and the size of the test site is positively correlated with the size of the measured aircraft. In addition, it is required to ensure that the RCS level of the background environment is as low as possible. However, it is difficult to ensure a stable and low-level background environment in a super-large test site under the current technical conditions.

[0003] Based on the above factors, with the gradual maturity of the near-field test theory, the RCS test of large-size aircraft using the near-field test technology has gradually been valued. Compared with the far-field test, the near-field test has higher space utilization and lower background environment requirements in site construction, and can complete the RCS test in a smaller site area and a more relaxed background environment. However, the large-size target to be measured means that the RCS test will inevitably introduce large-size erection devices and other auxiliary equipment. These large-size auxiliary equipment are strong scattering sources, which will affect the RCS test results of the target to be measured, resulting in low accuracy of the RCS test of the existing large-size target to be measured. SUMMARY

[0004] The main purpose of the present application is to provide a radar cross section test data processing method, device, equipment and storage medium, which aims to solve the technical problem of low accuracy of the RCS test of the existing large-size target to be measured.

[0005] To achieve the above purpose, the present application provides a radar cross section test data processing method, comprising:

[0006] obtaining calibration data and cylindrical near-field acquisition data of a test target;

[0007] calibrating and correcting the cylindrical near-field acquisition data according to the calibration data to obtain calibrated acquisition data;

[0008] performing clutter filtering on the calibrated acquisition data through near-field ISAR imaging to obtain filtered acquisition data;

[0009] performing far-to-near field transformation on the filtered collected data to obtain far field test data of the test target.

[0010] Optionally, the step of filtering out the non-target scattering source from the near field ISAR image to obtain the filtered collected data comprises:

[0011] performing inverse synthetic aperture processing on the collected data after calibration to obtain a near field ISAR image;

[0012] identifying a non-target scattering source in the near field ISAR image;

[0013] filtering out the non-target scattering source to obtain a filtered near field ISAR image;

[0014] performing inverse operation on the filtered near field ISAR image to obtain the filtered collected data; wherein the filtered collected data has the same format as the near field collected data.

[0015] Optionally, the step of filtering out the non-target scattering source from the near field ISAR image to obtain the filtered collected data comprises:

[0016] determining whether a boundary definition of the non-target scattering source meets a preset threshold;

[0017] if yes, performing image filtering on the non-target scattering source;

[0018] if no, performing scattering center identification and scattering characteristic simulation on the non-target scattering source, and performing vector cancellation in the near field ISAR image according to the identification and simulation results.

[0019] Optionally, the step of filtering out the non-target scattering source from the near field ISAR image to obtain the filtered collected data comprises:

[0020] filtering out the non-target scattering source to obtain a first filtered near field ISAR image;

[0021] determining whether the first filtered near field ISAR image contains the non-target scattering source;

[0022] if no, obtaining the filtered near field ISAR image;

[0023] if yes, continuing to filter the first filtered near field ISAR image until the non-target scattering source is not identified in the first filtered near field ISAR image, and obtaining the filtered near field ISAR image.

[0024] Optionally, the step of performing far-to-near field transformation on the filtered collected data to obtain far field test data of the test target comprises:

[0025] performing a near-far field transformation on the horizontal component of the scattered field in the filtered acquisition data to obtain a transformed scattered field component;

[0026] vector superimposing the transformed scattered field component and the vertical component of the scattered field in the filtered acquisition data to obtain the far-field test data.

[0027] Optionally, after the step of performing a near-far field transformation on the filtered acquisition data to obtain the far-field test data of the test target, the method further comprises:

[0028] performing an inverse synthetic aperture imaging process on the far-field test data to obtain a far-field ISAR image.

[0029] Optionally, after the step of obtaining the calibration data and the cylindrical near-field acquisition data of the test target, the method further comprises:

[0030] performing background cancellation on the cylindrical near-field acquisition data to obtain post-cancellation cylindrical near-field acquisition data;

[0031] performing calibration correction on the cylindrical near-field acquisition data according to the calibration data to obtain post-calibration acquisition data, wherein the step of performing calibration correction on the cylindrical near-field acquisition data according to the calibration data to obtain post-calibration acquisition data comprises:

[0032] performing calibration correction on the post-cancellation cylindrical near-field acquisition data according to the calibration data to obtain post-calibration acquisition data.

[0033] In addition, to achieve the above object, the present application also provides a radar scattering cross section test data processing device, comprising:

[0034] a near-field data acquisition module, configured to acquire calibration data and cylindrical near-field acquisition data of a test target;

[0035] a calibration correction module, configured to perform calibration correction on the cylindrical near-field acquisition data according to the calibration data to obtain post-calibration acquisition data;

[0036] a clutter filtering module, configured to perform clutter filtering on the post-calibration acquisition data by near-field ISAR imaging to obtain filtered acquisition data;

[0037] a far-field data acquisition module, configured to perform a near-far field transformation on the filtered acquisition data to obtain far-field test data of the test target.

[0038] In addition, to achieve the above object, the present application also provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the above method.

[0039] In addition, to achieve the above object, the application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and a processor executes the computer program to implement the method.

[0040] The application can achieve the beneficial effects.

[0041] The radar scattering cross section test data processing method, device, equipment and storage medium provided by the embodiment of the application obtain the calibration data and the cylindrical near-field acquisition data of a test target; the cylindrical near-field acquisition data is calibrated and corrected according to the calibration data to obtain calibrated acquisition data; the calibrated acquisition data is subjected to clutter filtering through near-field ISAR imaging to obtain filtered acquisition data; and the filtered acquisition data is subjected to far-near field conversion to obtain far-field test data of the test target. That is, the calibration and correction of the cylindrical near-field RCS test data can eliminate the deviation caused by the test system itself and improve the accuracy of the test data. In addition, in an environment where the size of the test target is large and a strong non-target scattering source is introduced, the clutter filtering can effectively eliminate the scattering interference of the non-test target to obtain the real test result of the test target and improve the precision of the test data. At the same time, the cylindrical wave is equivalent to a spherical wave in the horizontal component and is equivalent to a plane wave in the vertical component, and the far-near field conversion of the calibrated and clutter-filtered data can obtain far-field test data with high precision that meets the actual requirements. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 The computer device structure schematic diagram of the hardware running environment related to the embodiment of the application is shown in the figure;

[0043] Figure 2 The flowchart of the radar scattering cross section test data processing method provided by the embodiment of the application is shown in the figure;

[0044] Figure 3 The functional module schematic diagram of the radar scattering cross section test data processing device provided by the embodiment of the application is shown in the figure.

[0045] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0046] It should be understood that the specific embodiments described herein are only used to explain the application and not to limit the application.

[0047] The main solution of the embodiment of the present application is: a radar scattering cross section test data processing method, device, equipment and storage medium are provided, the calibration data and the cylindrical near-field collection data of the test target are obtained; the cylindrical near-field collection data is calibrated and corrected according to the calibration data, and the calibrated collection data is obtained; the clutter of the calibrated collection data is filtered through near-field ISAR imaging, and the filtered collection data is obtained; the filtered collection data is transformed between far field and near field, and the far-field test data of the test target is obtained.

[0048] In the prior art, the radar scattering cross section (RCS) is a physical quantity representing the echo intensity generated by a target under radar wave irradiation. The RCS in the general sense refers to the characteristic value under the far-field condition, i.e., the plane wave irradiation. Under the far-field condition, the RCS is independent of the distance of the radar to the target, and is a function of the target characteristics (frequency, polarization and electromagnetic wave irradiation angle). To measure the far-field RCS, the classical far-field condition should be met. However, for the RCS measurement of an aircraft, the traditional far-field test method needs to build a very large site condition, and the site size is positively correlated with the size of the measured aircraft. In addition, it is necessary to ensure that the RCS level of the background environment is as low as possible. However, it is difficult to ensure a stable and low-level background environment in a super-large size test field under the current technical conditions.

[0049] Based on the above factors, with the gradual maturity of the near-field test theory, the RCS test of large-size aircraft using the near-field test technology is gradually valued. Compared with the far-field test, the near-field test has the key engineering advantages of higher space utilization and lower background environment requirement in site construction, and can complete the RCS test in a smaller site area and a more relaxed background environment. However, the large-size target to be measured means that the RCS test will inevitably introduce large-size erection devices and other auxiliary equipment. These large-size auxiliary equipment are strong scattering sources, which will affect the RCS test result of the target to be measured, resulting in low accuracy of the RCS test of the large-size target to be measured.

[0050] Therefore, the present application provides a solution. By calibrating and correcting the cylindrical near-field RCS test data, the deviation of the test system itself is excluded, and the accuracy of the test data is improved. Further, in the environment of the large-size target to be measured which will inevitably introduce non-target strong scattering sources, the clutter filtering is used to effectively exclude the scattering interference of the non-test target, so as to obtain the real test result of the test target and improve the accuracy of the test data. At the same time, by using the transmission characteristics that the horizontal component of the cylindrical wave is equivalent to the spherical wave and the vertical component is equivalent to the plane wave, the far-field test data with high accuracy meeting the actual requirements is obtained after the calibration, clutter filtering and far-field and near-field transformation of the data.

[0051] ReferenceFigure 1 , Figure 1 A computer device structure schematic diagram of a hardware running environment involved in an embodiment of the present application.

[0052] As Figure 1 shown, the computer device can include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection and communication between the components. The user interface 1003 can include a display screen, an input unit such as a keyboard, and can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 can be a high-speed random access memory (RAM) memory, or a stable non-volatile memory (NVM), such as a disk memory. The memory 1005 can also be a storage device independent of the aforementioned processor 1001.

[0053] Those skilled in the art can understand that Figure 1 the structure shown in the foregoing embodiments does not constitute a limitation on the computer device, and can include more or fewer components than the diagram, or combine certain components, or different component arrangements.

[0054] As Figure 1 shown, the memory 1005 as a storage medium can include an operating system, a data storage module, a network communication module, a user interface module, and an electronic program.

[0055] In Figure 1 the computer device shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the computer device of the present application can be arranged in the computer device, and the computer device calls the radar scattering cross section test data processing apparatus stored in the memory 1005 through the processor 1001, and executes the radar scattering cross section test data processing method provided by the embodiment of the present application.

[0056] With reference to Figure 2 the hardware device of the foregoing embodiments, the embodiment of the present application provides a radar scattering cross section test data processing method, which includes:

[0057] S10: obtaining calibration data and cylindrical near-field acquisition data of the test target;

[0058] In the specific implementation process, the calibration data refers to the data obtained by testing a standard target with a known theoretical measurement value in the same test environment as the test target, because the test system may have some errors due to its own reasons, resulting in a fixed deviation in the test result. The calibration data includes the theoretical value and the offset, and the test data can be corrected for deviation by using the calibration data.

[0059] The cylindrical near-field acquisition data refers to the data obtained by testing the test target under the cylindrical near-field condition. The cylindrical near-field acquisition data is the basic data for forming a one-dimensional curve of the near field.

[0060] S20: calibrating and correcting the cylindrical near-field acquisition data according to the calibration data to obtain calibrated acquisition data;

[0061] In the specific implementation process, the calibration and correction refers to correcting the cylindrical near-field acquisition data of the actual test target by using the calibration data, excluding the deviation caused by the test system, to obtain the calibrated acquisition data. The calibration and correction makes the cylindrical near-field acquisition data exclude the deviation caused by the measurement system itself, and is more accurate.

[0062] As an optional implementation, after the step of obtaining the calibration data and the cylindrical near-field acquisition data of the test target, the method further includes: performing background cancellation on the cylindrical near-field acquisition data to obtain post-cancellation cylindrical near-field acquisition data.

[0063] In the specific implementation process, the present embodiment takes a large aircraft model as the test target, and large support poles and other devices are erected in the test site. The background environment of the test site without the aircraft model but with the support poles and other devices in the actual measurement state is used to perform background cancellation on the cylindrical near-field acquisition data to obtain the post-cancellation cylindrical near-field acquisition data. The post-cancellation data preliminarily eliminates the influence of the devices in the environment, and further improves the accuracy.

[0064] At this time, the step of calibrating and correcting the cylindrical near-field acquisition data according to the calibration data to obtain the calibrated acquisition data includes: calibrating and correcting the post-cancellation cylindrical near-field acquisition data according to the calibration data to obtain the calibrated acquisition data.

[0065] It can be understood that after the background cancellation, the post-cancellation cylindrical near-field acquisition data is calibrated and corrected according to the above calibration data to obtain the calibrated acquisition data.

[0066] S30: performing clutter filtering on the calibrated acquisition data through near-field ISAR imaging to obtain filtered acquisition data.

[0067] In the specific implementation process, the clutter filtering refers to filtering the interference signals caused by non-test targets in the radar collected data, and restoring the scattering characteristics of the measured target. Because the test target is large in size, a large-size erecting device will be inevitably introduced in the test site, causing the radar collected data to contain scattering data of non-target scattering sources other than the test target, and therefore, the data needs to be processed for clutter filtering.

[0068] The near-field ISAR imaging refers to processing the radar collected data, i.e., the post-calibration collected data, under the condition that the relationship between the test target and the test radar meets the near-field relationship, and generating an ISAR image. The positions and scattering characteristics of the test target and the non-target scattering sources in the image are different, and the non-target scattering sources are identified and filtered by generating the image, thereby further improving the accuracy of the test target RCS test data.

[0069] As an optional implementation, the step of filtering the post-calibration collected data by near-field ISAR imaging to obtain filtered collected data includes: performing inverse synthetic aperture processing on the post-calibration collected data to obtain a near-field ISAR image; identifying non-target scattering sources in the near-field ISAR image; filtering the non-target scattering sources to obtain a filtered near-field ISAR image; and performing inverse operation on the filtered near-field ISAR image to obtain the filtered collected data; wherein the filtered collected data and the near-field collected data are of the same format.

[0070] In the specific implementation process, the inverse synthetic aperture imaging method is used to perform ISAR imaging on the post-calibration collected data of multiple frequency points in a frequency band to obtain a near-field ISAR image; non-target scattering sources in the near-field ISAR image are identified in combination with the scattering field distribution in the scene with no test target but with erecting devices and the like, and the tooling and other equipment and facility entities that will affect the test results in the actual erecting scene; after the identification, the non-target scattering sources are filtered to obtain a filtered near-field ISAR image; the inverse operation refers to the process of calculating back to the radar collected data format style from the two-dimensional imaging, and the inverse operation method is used to calculate back the filtered near-field ISAR imaging to obtain the filtered collected data of the same format as the near-field collected data.

[0071] As an optional implementation, the step of filtering the non-target scattering sources to obtain a filtered near-field ISAR image includes: judging whether the boundary definition of the non-target scattering sources meets a preset threshold; if yes, performing image filtering on the non-target scattering sources; and if no, performing scattering center identification and scattering characteristic simulation on the non-target scattering sources, and performing vector cancellation in the near-field ISAR image according to the identification simulation results.

[0072] In the implementation process, the non-target scattering source is represented by a single or multiple annular patterns in the near-field ISAR image. A clarity threshold is set according to historical data. The non-target scattering source satisfying the threshold is usually a single annular pattern in the image, which has a regular shape, clear boundary and small scattering influence. The image is filtered by the image filtering method. The non-target scattering source not satisfying the threshold is usually formed by multiple annular patterns in the image, which has an irregular shape, fuzzy boundary, large scattering influence and is more concentrated. The scattering center is identified and the scattering characteristics are simulated. The vector cancellation method is used to filter the non-target scattering source from the scattering center and the position with strong scattering. After the first filtering, the scattering center is identified and the scattering characteristics are simulated again. The non-target scattering source is filtered from the scattering center and the position with strong scattering. The non-target scattering source is completely filtered in the near-field ISAR image. Such non-target scattering source with a fuzzy boundary is filtered by multiple times. Different filtering methods are adopted for non-target scattering sources with different characteristics, which improves the filtering efficiency. The non-target scattering source with a fuzzy boundary is gradually filtered from the scattering center, which improves the filtering accuracy.

[0073] As an optional implementation, the step of filtering the non-target scattering source to obtain the filtered near-field ISAR image comprises: filtering the non-target scattering source to obtain a first filtered near-field ISAR image; determining whether the first filtered near-field ISAR image contains the non-target scattering source; if not, obtaining the filtered near-field ISAR image; if yes, continuing to filter the first filtered near-field ISAR image until the non-target scattering source is not identified in the first filtered near-field ISAR image, and obtaining the filtered near-field ISAR image.

[0074] In the implementation process, the non-target scattering source is filtered according to the above identification and filtering method. The non-target scattering source is identified and filtered again after filtering, until the non-target scattering source cannot be identified in the region. The step makes the overall filtering more complete, and the filtered near-field ISAR imaging is obtained.

[0075] S40: performing near-far field conversion on the filtered acquisition data to obtain far-field test data of the test target.

[0076] In the implementation process, the near-far field conversion refers to a process of calculating the far-field RCS result, i.e. the far-field test data of the test target, by the near-far field theoretical relationship, through technical means, to realize the conversion of the near-field data obtained by the test into the actual required far-field data.

[0077] As an optional implementation, the step of performing far-field transformation on the filtered acquisition data to obtain the far-field test data of the test target comprises: performing far-field transformation on the horizontal component of the scattered field in the filtered acquisition data to obtain a transformed scattered field component; and performing vector superposition on the transformed scattered field component and the vertical component of the scattered field in the filtered acquisition data to obtain the far-field test data.

[0078] In the implementation, the cylindrical near-field used in the scheme is different from the traditional spherical near-field in terms of waveform attenuation calculation and energy correction. The difference between the cylindrical wave and the spherical wave lies in different energy attenuation when transmitted to the same position. The cylindrical field shows different properties in the horizontal direction and the vertical direction, and thus needs to be calculated according to different transformation relationships. The vertical component can be directly calculated according to the calculation method of the plane wave attenuation because of the same property as the plane wave, and the horizontal component needs to be corrected according to the calculation method of the spherical wave attenuation. Therefore, the horizontal component of the scattered field in the filtered acquisition data is transformed into the far field, and then the vertical component of the scattered field in the filtered acquisition data is vector superimposed to obtain the far-field test data.

[0079] As an optional implementation, the step of performing far-field transformation on the filtered acquisition data to obtain the far-field test data of the test target is followed by a step of performing inverse synthetic aperture imaging processing on the far-field test data to obtain a far-field ISAR image.

[0080] In the implementation, the far-field ISAR image is used to represent the far-field RCS result in the same format as the radar acquisition data. The inverse synthetic aperture imaging method is used to integrate and process the far-field test data of multiple frequency bands and multiple frequency points to generate the far-field ISAR image.

[0081] It should be understood that the above is only an example and does not limit the technical scheme of the present application. Those skilled in the art can make necessary settings based on needs in actual applications, which are not limited herein.

[0082] As can be seen from the above description, the embodiment is used to calibrate and correct the cylindrical near-field RCS test data, eliminate the deviation of the test system itself, and improve the accuracy of the test data. Further, in the environment where the test target size is large and the strong scattering source of non-target is introduced, the clutter filtering is used to effectively eliminate the scattering interference of the non-test target, and the real test result of the test target is obtained to improve the precision of the test data. Meanwhile, the cylindrical wave is equivalent to the spherical wave in the horizontal component and equivalent to the plane wave in the vertical component. After the calibration and clutter filtering, the far-field transformation is performed to obtain the far-field test data with high precision that meets the actual requirements.

[0083] Referring to Figure 3 Based on the same inventive concept, the embodiment of the present application also provides a radar scattering cross section test data processing device, comprising:

[0084] a near-field data acquisition module, configured to acquire calibration data and cylindrical near-field acquisition data of a test target;

[0085] a calibration correction module, configured to perform calibration correction on the cylindrical near-field acquisition data according to the calibration data, to obtain post-calibration acquisition data;

[0086] a clutter filtering module, configured to perform clutter filtering on the post-calibration acquisition data through near-field ISAR imaging, to obtain post-filtering acquisition data;

[0087] a far-field data acquisition module, configured to perform far-near field conversion on the post-filtering acquisition data, to obtain far-field test data of the test target.

[0088] It should be noted that the modules in the radar scattering cross section test data processing device in the embodiment correspond one by one to the steps in the radar scattering cross section test data processing method in the foregoing embodiment, and therefore the specific embodiments of the present embodiment can refer to the embodiments of the radar scattering cross section test data processing method, which will not be described herein again.

[0089] In addition, in an embodiment, the embodiment of the present application also provides a computer device, which comprises a processor, a memory and a computer program stored in the memory, and the computer program implements the steps of the method in the foregoing embodiment when executed by the processor.

[0090] In addition, in an embodiment, the embodiment of the present application also provides a computer storage medium, which stores a computer program, and the computer program implements the steps of the method in the foregoing embodiment when executed by a processor.

[0091] In some embodiments, the computer readable storage medium can be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disc or CD-ROM, etc.; or can be various devices comprising one or any combination of the above memories. The computer can be various computing devices including smart terminals and servers.

[0092] In some embodiments, the executable instructions can be in the form of programs, software, software modules, scripts or codes, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and can be deployed in any form, including being deployed as independent programs or as modules, components, subroutines or other units suitable for use in a computing environment.

[0093] As an example, executable instructions can correspond to a file in a file system, but in many cases will reside in a portion of the main memory during execution. It is thus recognized that portions of the instructions executing on the computer, memory, etc. can be from computer program products (e.g., the memory of the computer or storage media of a computer program product).

[0094] As an example, executable instructions can be deployed to be executed on one computer or on multiple computers of a distributed computer network. As another example, the executable instructions can be deployed to execute on a computing device of a distributed computer network.

[0095] It should be noted that, as used in this document, the terms "include," "includes," "including," "comprise," "comprises," or "comprising," are used in an inclusive manner, meaning that the processes, methods, articles or systems that are described include, but are not limited to, those so described, without limitation. As used herein, the term "or" as used herein, without limitation, can be any logical combination of which it is employed. As used herein, the term "comprising" is used in the transition sense, meaning that the process, method, article, or system includes, but is not limited to, those so described.

[0096] The above-mentioned sequence numbers of the embodiments of the present application are only for description, and do not represent advantages or disadvantages of the embodiments.

[0097] Those skilled in the art can clearly understand the above-mentioned embodiment methods by means of software and necessary general hardware platforms, of course, they can also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, an optical disk), and includes a plurality of instructions for causing a multimedia terminal device (which can be a mobile phone, a computer, a television receiver, or a network device, etc.) to execute the methods described in the various embodiments of the present application.

[0098] The above are only preferred embodiments of the present application, and do not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation made by using the contents of the specification and drawings, or directly or indirectly applied to other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A radar cross section test data processing method, characterized by, The method comprises the following steps: obtaining calibration data and cylindrical near-field acquisition data of a test target; calibrating the cylindrical near-field acquisition data according to the calibration data to obtain calibrated acquisition data; performing clutter filtering on the calibrated acquisition data through near-field ISAR imaging to obtain filtered acquisition data; performing far-near field transformation on the filtered acquisition data to obtain far-field test data of the test target; the step of performing clutter filtering on the calibrated acquisition data through near-field ISAR imaging to obtain filtered acquisition data comprises: performing inverse synthetic aperture processing on the calibrated acquisition data to obtain a near-field ISAR image; identifying non-target scattering sources in the near-field ISAR image; filtering out the non-target scattering sources to obtain a filtered near-field ISAR image; performing inverse operation on the filtered near-field ISAR image to obtain the filtered acquisition data; wherein the filtered acquisition data has the same format as the near-field acquisition data; the step of filtering out the non-target scattering sources to obtain the filtered near-field ISAR image comprises: determining whether the boundary definition of the non-target scattering sources meets a preset threshold; if yes, performing image filtering on the non-target scattering sources; if no, performing scattering center identification and scattering characteristic simulation on the non-target scattering sources, and performing vector cancellation in the near-field ISAR image according to the identification simulation result.

2. The radar cross section test data processing method of claim 1, wherein, the step of filtering out the non-target scattering sources to obtain the filtered near-field ISAR image comprises: filtering out the non-target scattering sources to obtain a first filtered near-field ISAR image; determining whether the first filtered near-field ISAR image contains the non-target scattering sources; if no, obtaining the filtered near-field ISAR image; if yes, continuously filtering the first filtered near-field ISAR image until the non-target scattering sources cannot be identified in the first filtered near-field ISAR image, and obtaining the filtered near-field ISAR image.

3. The radar cross section test data processing method of claim 1, wherein, the step of performing far-near field transformation on the filtered acquisition data to obtain far-field test data of the test target comprises: performing far-near field transformation on a horizontal component of a scattering field in the filtered acquisition data to obtain a transformed scattering field component; performing vector superposition of the transformed scattering field component and a vertical component of the scattering field in the filtered acquisition data to obtain the far-field test data.

4. The radar cross section test data processing method of claim 1, wherein, after the step of performing far-near field transformation on the filtered acquisition data to obtain far-field test data of the test target, the method further comprises: performing inverse synthetic aperture imaging processing on the far-field test data to obtain a far-field ISAR image.

5. The radar cross section test data processing method of claim 1, wherein, after the step of obtaining calibration data and cylindrical near-field acquisition data of a test target, the method further comprises: performing background cancellation on the cylindrical near-field acquisition data to obtain post-cancellation cylindrical near-field acquisition data; the step of calibrating the cylindrical near-field acquisition data according to the calibration data to obtain calibrated acquisition data comprises: calibrating the post-cancellation cylindrical near-field acquisition data according to the calibration data to obtain calibrated acquisition data; The step of filtering out clutter from the post-calibration collected data by near-field ISAR imaging to obtain filtered collected data comprises: performing inverse synthetic aperture processing on the post-calibration collected data to obtain a near-field ISAR image; identifying non-target scattering sources in the near-field ISAR image; filtering out the non-target scattering sources to obtain a filtered near-field ISAR image; performing inverse operation on the filtered near-field ISAR image to obtain the filtered collected data; wherein the filtered collected data has the same format as the near-field collected data; The step of filtering out the non-target scattering sources to obtain a filtered near-field ISAR image comprises: determining whether the boundary definition of the non-target scattering sources meets a preset threshold; if yes, performing image filtering on the non-target scattering sources; if no, performing scattering center identification and scattering characteristic simulation on the non-target scattering sources, and performing vector cancellation in the near-field ISAR image according to the identification simulation result.

6. A radar cross section test data processing apparatus characterized by, It comprises: a near-field data acquisition module, configured to acquire calibration data and cylindrical near-field collected data of a test target; a calibration correction module, configured to perform calibration correction on the cylindrical near-field collected data according to the calibration data to obtain post-calibration collected data; a clutter filtering module, configured to filter out clutter from the post-calibration collected data by near-field ISAR imaging to obtain filtered collected data; a far-field data acquisition module, configured to perform far-near field conversion on the filtered collected data to obtain far-field test data of the test target; The step of filtering out clutter from the post-calibration collected data by near-field ISAR imaging to obtain filtered collected data comprises: performing inverse synthetic aperture processing on the post-calibration collected data to obtain a near-field ISAR image; identifying non-target scattering sources in the near-field ISAR image; filtering out the non-target scattering sources to obtain a filtered near-field ISAR image; performing inverse operation on the filtered near-field ISAR image to obtain the filtered collected data; wherein the filtered collected data has the same format as the near-field collected data; The step of filtering out the non-target scattering sources to obtain a filtered near-field ISAR image comprises: determining whether the boundary definition of the non-target scattering sources meets a preset threshold; if yes, performing image filtering on the non-target scattering sources; if no, performing scattering center identification and scattering characteristic simulation on the non-target scattering sources, and performing vector cancellation in the near-field ISAR image according to the identification simulation result.

7. A computer device, characterized by The computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the processor executes the computer program to realize the method of any one of claims 1-5.

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