Secondary radar false target recognition method and system, computer device and medium

Abstract

The present invention discloses a method and system for identifying secondary radar false targets, a computer device, and a medium. The method includes a target list fusion step: fusing the ADS-B target list and the secondary radar target list, marking the successfully fused targets as the fused state, and marking the failed-to-fuse targets as the non-fused state; a false target identification step: identifying the targets in the secondary radar target list that are in the non-fused state, have the same air traffic control code, and are close in altitude as possible false targets, and when it is queried that at least one possible false target is in the fused state, identifying the target in the possible false targets that is in the fused state as a real target, and identifying the other targets as false targets. The present invention solves the problems of inapplicability and inaccuracy in the prior art method of simply relying on target amplitude to judge false targets, and can effectively identify false secondary radar targets in secondary radar data processing, reducing the false alarm rate of secondary radar detection.

Description

Technical Field

[0001] The present invention relates to the technical field of radar, and particularly to a method and system for identifying false targets of secondary radar based on ADS-B, a computer device, and a computer storage medium. Background Art

[0002] The false alarm rate is an important indicator for measuring the detection performance of secondary radar. The false targets detected by secondary radar are mainly divided into sidelobe targets and multipath targets. Sidelobe targets are usually caused by the failure of the secondary radar control beam to cover and the sidelobes of the beam, resulting in sidelobe penetration. After penetration, the sidelobe beam detects the target at the sidelobe position, thus forming a false target of the target in the main beam direction. Multipath targets are caused by the reflection of geographical environments such as mountains or buildings, resulting in multiple paths between the secondary radar transmitter and the receiver, thus causing false targets.

[0003] Currently, false targets of secondary radar are identified by the air traffic control code and amplitude characteristics of the targets. Among them: the sidelobe target is close to the real target in distance and has a large deviation in azimuth. The air traffic control codes are usually the same, and the amplitude of the sidelobe target is generally smaller than that of the real target; the multipath target usually has a distance greater than that of the real target, the air traffic control codes are usually the same, and the amplitude of the multipath target is generally smaller than that of the real target. Therefore, in the back-end data processing, if there are multiple targets with the same air traffic control code and similar altitude in the same detection period, it can be considered that the target with a smaller amplitude is a false target.

[0004] The existing false target identification technology of secondary radar identifies false targets through the air traffic control code and amplitude of the targets, relying on the amplitude of the targets. If the beam forming of the secondary radar is abnormal, it may lead to too high sidelobe amplitude, then the amplitude of the sidelobe target is close to that of the real target; if the distance difference between the reflection path and the normal reception path is small, resulting in partial superposition of the reflected signal and the normal reception signal, then the amplitude of the multipath target is often close to that of the real target. At this time, the method of judging false targets by target amplitude is no longer applicable. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for identifying false targets of secondary radar based on ADS-B, so as to solve the problem that false targets cannot be identified when the amplitude of the detected target of secondary radar is abnormal in the prior art.

[0006] The present invention is realized through the following technical solutions:

[0007] A method for identifying false targets of secondary radar includes a target list fusion step and a false target identification step, where:

[0008] Target list fusion step: fuse the ADS-B target list and the secondary radar target list, mark the successfully fused targets as the fused state, and mark the failed-to-fuse targets as the non-fused state;

[0009] False target identification step: identify the targets with the same air traffic control code and similar altitude in the secondary radar target list as possible false targets, and when at least one possible false target is in the fused state is queried, identify the targets in the possible false targets that are in the fused state as real targets, and the targets in the non-fused state as false targets.

[0010] This technical solution introduces ADS-B target information, and through backend data processing, fuses the ADS-B targets and the secondary radar targets. If there are multiple secondary radar targets with the same air traffic control code, similar altitude, and different positions in the same detection period, then the targets that can be fused with the ADS-B targets are real targets. On the premise that there are real targets that can be fused with the ADS-B targets, other targets that cannot be fused with the ADS-B targets are false targets.

[0011] In some embodiments, as a further improvement of this solution, the target list fusion step includes:

[0012] S11. Select a target from the secondary radar target list as the current secondary radar target;

[0013] S12. Traverse the ADS-B target list, query whether the current secondary radar target is in the fused state. If it is not in the fused state, compare the position information of the current secondary radar target with the position information of the non-fused ADS-B targets. If the position information of both is within the fusion threshold, mark both the secondary radar target and the ADS-B target as the fused state, otherwise mark them as the non-fused state;

[0014] S13. Determine whether all the targets in the secondary radar target list have completed status marking. If so, end the target fusion step, otherwise jump to step S14;

[0015] S14. Re-select a target from the secondary radar target list as the current secondary radar target, and jump to step S12.

[0016] The position information includes distance difference, azimuth difference, and altitude difference. This technical solution fuses the ADS-B targets and the secondary radar targets through position correlation. If there are multiple secondary radar targets with the same air traffic control code, similar altitude, and different positions in the same detection period, then the targets that can be fused with the ADS-B targets are real targets. On the premise that there are real targets that can be fused with the ADS-B targets, other targets that cannot be fused with the ADS-B targets are false targets.

[0017] In some embodiments, as a further improvement of this solution, the false target recognition step includes:

[0018] S21. Traverse the secondary radar target list;

[0019] S22. Query whether there are multiple secondary radar targets with the same air traffic control code and similar altitudes. If so, mark the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets;

[0020] S23. Query the fusion status of the targets marked as possible false targets in step S22. If at least one of the possible false targets is in the fusion state, identify the target in the fusion state as a real target and the target in the non-fusion state as a false target.

[0021] In some embodiments, as a further improvement of this solution, the above secondary radar false target recognition method further includes a target list generation step: receiving secondary radar targets and generating a secondary radar target list; receiving ADS-B targets and generating an ADS-B target list, where:

[0022] The step of receiving secondary radar targets and generating a secondary radar target list specifically includes: receiving secondary radar targets, identifying different targets through position correlation, and storing them in the secondary radar target list;

[0023] The step of receiving ADS-B targets and generating an ADS-B target list specifically includes: receiving ADS-B targets, identifying different targets through S-mode addresses, converting the geodetic coordinates of the ADS-B targets into polar coordinates relative to the position of the secondary radar, and storing the ADS-B target information including polar coordinate information and the identified targets in the ADS-B target list.

[0024] Another object of the present invention is to provide an ADS-B-based secondary radar false target recognition system to solve the problem that false targets cannot be recognized when the amplitude of the targets detected by the secondary radar is abnormal. The secondary radar false target recognition system includes the following modules:

[0025] A target list generation module, configured to receive secondary radar targets and ADS-B targets, and correspondingly generate a secondary radar target list and an ADS-B target list;

[0026] A target list fusion module: configured to fuse the ADS-B target list and the secondary radar target list, mark the successfully fused targets as in the fusion state, and mark the failed-to-fuse targets as in the non-fusion state;

[0027] The false target recognition module is used to query whether there are multiple secondary radar targets with the same air traffic control code and similar altitudes in the secondary radar target list, and mark the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets; and query the fusion status of the possible false targets. When at least one possible false target is in the fusion status, the target in the fusion status is recognized as a real target, and the target in the non-fusion status is recognized as a false target.

[0028] In some embodiments, as a further improvement of the present invention, the target list generation module includes a secondary radar target list generation module and an ADS-B target list generation module, where:

[0029] The secondary radar target list generation module is used to receive secondary radar targets, identify different targets through position correlation, and store them in the secondary radar target list;

[0030] The ADS-B target list generation module is used to receive ADS-B targets, identify different targets through S-mode addresses, convert the geodetic coordinates of the ADS-B targets into polar coordinates relative to the position of the secondary radar, and store the ADS-B target information including polar coordinate information and the identified targets in the ADS-B target list.

[0031] Furthermore, the target list fusion module includes a current secondary radar target setting module, a fusion status query and status marking module, and a judgment module, where:

[0032] The current secondary radar target setting module is used to select a target from the secondary radar target list as the current secondary radar target;

[0033] The fusion status query and status marking module is used to traverse the ADS-B target list, query whether the current secondary radar target is in the fusion status. If it is not in the fusion status, compare the position information of the current secondary radar target with the position information of the un-fused ADS-B targets. If the position information of both is within the fusion threshold, mark the status of both the secondary radar target and the ADS-B target as the fusion status, otherwise mark it as the non-fusion status;

[0034] The judgment module is used to judge whether all the targets in the secondary radar target list have completed status marking. If so, end the target fusion. Otherwise, drive the current secondary radar setting module, the fusion status query and status marking module, and the judgment module to work again.

[0035] Another object of the present invention is to provide a computer device and a computer-readable storage medium. The computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned secondary radar false target recognition method is implemented. The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the above-mentioned secondary radar false target recognition method is implemented.

[0036] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0037] 1. The method and system of the present invention can effectively identify false secondary radar targets in secondary radar data processing, reducing the false alarm rate of secondary radar detection;

[0038] 2. By introducing ADS-B target information, this patent combines it with secondary radar targets to judge false targets. The data source is accurate and the implementation is simple. It realizes the judgment of secondary radar false targets in a simple way, solving the problem of completely relying on amplitude in the judgment of secondary radar false targets. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0040] Figure 1 It is a flowchart of the secondary radar false target recognition method in Embodiment 1;

[0041] Figure 2 It is a flowchart of a specific implementation manner of step S23 in Embodiment 1. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The existing secondary radar false target recognition technology is carried out through the target air traffic control code and amplitude, relying on the amplitude of the target. If the secondary radar beamforming is abnormal, it may cause the sidelobe amplitude to be too high, then the sidelobe target amplitude is close to the real target amplitude; if the distance difference between the reflection path and the normal reception path is small, resulting in partial superposition of the reflected signal and the normal reception signal, then the multipath target amplitude is often close to the real target amplitude. At this time, the method of judging false targets by target amplitude is no longer applicable.

[0043] To solve the above problems in the prior art, the inventors of the present application proposed to combine the Automatic Dependent Surveillance - Broadcast (ADS - B) technology to identify false targets of secondary radar. ADS - B is an aircraft surveillance technology based on the Global Navigation Satellite System (GNSS) and the ground - to - air and air - to - air data links. It is the main future surveillance technology determined by the International Civil Aviation Organization (ICAO). The monitored targets send information such as their own positions, speeds, flight intentions, and self - identification in a broadcast form, and it can provide an ADS - B target list. The inventors of the present application thus proposed the method and system for identifying false secondary radar targets based on ADS - B in the present invention. By introducing ADS - B target information, through backend data processing, and through position correlation, the ADS - B targets and secondary radar targets are fused. If there are multiple secondary radar targets with the same air traffic control code, similar altitudes, and different positions within the same detection period, then the one that can be fused with the ADS - B target is the real target. On the premise that there is a real target fused with the ADS - B target, other targets that cannot be fused with the ADS - B target are false targets. This identification method avoids the inapplicable and inaccurate problems of the method that simply relies on target amplitude to judge false targets, and can effectively identify false secondary radar targets in secondary radar data processing, reducing the false alarm rate of secondary radar detection.

[0044] To make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the embodiments and the accompanying drawings. The illustrative embodiments and their descriptions of the present invention are only used to explain the present invention and do not limit the present invention.

[0045]

Embodiment 1

[0046] As Figure 1 shown, the method for identifying false secondary radar targets includes:

[0047] Target list generation step: Receive secondary radar targets, identify different targets through position correlation, store them in the secondary radar target list, and generate a complete secondary radar target list; Receive ADS - B targets, identify different targets through S - mode addresses, convert the geodetic coordinates of the ADS - B targets into polar coordinates relative to the position of the secondary radar, store the ADS - B target information including polar coordinate information and the identified targets in the ADS - B target list, and generate a complete ADS - B target list;

[0048] Target list fusion step: Fuse the ADS - B target list and the secondary radar target list, mark the successfully fused targets as the fused state, and mark the failed - to - fuse targets as the non - fused state;

[0049] False target recognition step: Identify targets with the same air traffic control code and similar altitudes in the secondary radar target list as possible false targets. When it is queried that at least one possible false target is in a fused state, identify the target in the possible false targets that is in the fused state as a real target, and identify the target in the non-fused state as a false target.

[0050] In this embodiment, identifying different targets through position correlation and identifying different targets through S-mode addresses are prior arts well-known to those skilled in the art, and will not be elaborated in this embodiment.

[0051] Among them, the above target list fusion step includes:

[0052] S11. Select a target from the secondary radar target list as the current secondary radar target;

[0053] S12. Traverse the ADS-B target list in the same detection period (the detection period in this embodiment is 10 s), and query whether the current secondary radar target is in a fused state. If it is not in a fused state, compare the position information of the current secondary radar target with the position information (distance difference, azimuth difference, and altitude difference) of the unfused ADS-B target. If the position information of the two is within the fusion threshold (that is, the distance difference, azimuth difference, and altitude difference are all less than their respective set threshold values), it means that the two are the same target, and then mark the states of both the secondary radar target and the corresponding ADS-B target as the fused state; otherwise, mark them as the non-fused state. In this embodiment, the fusion threshold values are as follows: the distance difference is 6 km, the azimuth difference is 5 degrees, and the altitude difference is 300 m; that is, if the distance difference between the current secondary radar target and one of the unfused ADS-B targets is less than 6 km, the azimuth difference is less than 5 degrees, and the altitude difference is less than 300 m, it is considered that the two can be fused and marked as the fused state.

[0054] S13. Determine whether all targets in the secondary radar target list have completed state marking. If so, end the target fusion step; otherwise, jump to step S14;

[0055] S14. Re-select an unmarked target from the secondary radar target list as the current secondary radar target, and jump to step S12.

[0056] The purpose of steps S11 - S14 is to compare the position information of each target in the secondary radar target list within the same detection period with the targets in the ADS - B target list to determine whether the same target can be found in the ADS - B target list. If a target in the secondary radar target list can find a target in the ADS - B target list with the distance difference, azimuth difference, and altitude difference all less than their respective set threshold values, it means the same target is found, that is, at least one target of the secondary radar is the same as a target in the ADS - B target, and it can be recognized as a real target in subsequent determinations and can be fused, marked as the fused state. If the same target cannot be found in the ADS - B target list, then this target is marked as the non - fused state.

[0057] The steps for identifying false targets include:

[0058] S21. Traverse the secondary radar target list;

[0059] S22. Query whether there are multiple secondary radar targets with the same air traffic control code and similar altitudes within the same detection period in the secondary radar target list. If so, mark the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets;

[0060] S23. Query the fusion status of the targets marked as possible false targets in step S22. Identify the targets in the fused state as real targets. If at least one of the possible false targets is in the fused state, then identify the targets in the non - fused state as false targets.

[0061] In step S22, when it is found that there are multiple secondary radar targets with the same air traffic control code and similar altitudes in the secondary radar target list within the same detection period, it indicates that there are false targets. Mark all such targets as possible false targets, and then enter step S23 for verification using the fusion status. Fusion indicates that the verified target has found the same target in the ADS - B target list and is a real target, otherwise it is a false target. Through this identification method, false secondary radar targets can be effectively identified, reducing the false alarm rate of secondary radar detection.

[0062] The specific steps of step S23 are as Figure 2 shown. When marking the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets in step S22, judge these possible false targets, and the judgment method is as follows:

[0063] First, set a possible false target as the current target and determine whether the current target is in a fused state: If it is not in a fused state, determine whether there is a possible false target in a fused state among other possible false targets. If at least one target among other possible false targets is in a fused state, the current target is identified as a false target; If the current target is in a fused state, it is identified as a true target. At this time, there is already a true target in a fused state among the possible false targets, and the other targets in a fused state are true targets, while those not in a fused state are false targets. During this judgment process, theoretically, there will not be a situation where all possible false targets are fused true targets, but there may be a situation where all possible false targets are non-fused targets. This situation may be due to the fact that the target (e.g., an aircraft) does not have the ADS-B OUT function. In this case, not all non-fused targets can be identified as false targets. In this embodiment, the false target identification method in step S23 can effectively identify targets and will not cause misidentification of false targets, identifying targets without the ADS-B OUT function (such as non-civil aircraft) as false targets, which has the advantages of high identification efficiency and high accuracy.

[0064] In summary, in this embodiment, by introducing ADS-B target information, through backend data processing, and through position correlation, the ADS-B target and the secondary radar target are fused. If there are multiple secondary radar targets with the same air traffic control code, similar altitudes, and different positions within the same detection period, then those that can be fused with the ADS-B target are true targets, and the other targets are false targets. This method can effectively identify false secondary radar targets in secondary radar data processing and reduce the false alarm rate of secondary radar detection.

[0065]

Embodiment 2

[0066] This embodiment provides a secondary radar false target identification system based on ADS-B, including the following modules:

[0067] A target list generation module, configured to receive secondary radar targets and ADS-B targets and correspondingly generate a secondary radar target list and an ADS-B target list;

[0068] A target list fusion module: configured to fuse the ADS-B target list and the secondary radar target list, mark the successfully fused targets as in a fused state, and mark the failed-to-fuse targets as in a non-fused state;

[0069] The false target recognition module is used to query whether there are multiple secondary radar targets with the same air traffic control code and similar altitudes in the secondary radar target list, and mark the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets; and query the fusion status of the possible false targets. When it is queried that at least one possible false target is in the fusion status, the target in the fusion status is recognized as a real target, and the target in the non-fusion status is recognized as a false target.

[0070] The target list generation module includes a secondary radar target list generation module and an ADS-B target list generation module, where:

[0071] The secondary radar target list generation module is used to receive secondary radar targets, identify different targets through position correlation, and store them in the secondary radar target list;

[0072] The ADS-B target list generation module is used to receive ADS-B targets, identify different targets through S-mode addresses, convert the geodetic coordinates of the ADS-B targets into polar coordinates relative to the position of the secondary radar, and store the ADS-B target information including polar coordinate information and the identified targets in the ADS-B target list;

[0073] The target list fusion module includes:

[0074] The current secondary radar target setting module is used to select a target from the secondary radar target list as the current secondary radar target;

[0075] The fusion status query and status marking module is used to traverse the ADS-B target list, query whether the current secondary radar target is in the fusion status. If it is not in the fusion status, compare the position information of the current secondary radar target with the position information of the non-fused ADS-B targets. If the position information of both is within the fusion threshold, mark the status of both the secondary radar target and the ADS-B target as the fusion status, otherwise mark it as the non-fusion status;

[0076] The judgment module is used to judge whether all the targets in the secondary radar target list have completed status marking. If so, end the target fusion. Otherwise, drive the current secondary radar setting module, the fusion status query and status marking module, and the judgment module to work again.

[0077]

Embodiment 3

[0078] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the secondary radar false target recognition method in Embodiment 1.

[0079]

Embodiment 4

[0080] This embodiment provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the secondary radar false target recognition method of Embodiment 1.

[0081] The above specific embodiments further elaborate on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Method for identifying false targets of secondary radar, characterized in that, comprising: Target list fusion step: Fuse the ADS-B target list and the secondary radar target list, mark the successfully fused targets as the fused state, and mark the failed fused targets as the non-fused state; False target identification step: Identify the targets with the same air traffic control code and similar altitude in the secondary radar target list as possible false targets, and when it is queried that at least one possible false target is in the fused state, identify the targets in the possible false targets that are in the fused state as real targets, and the targets in the non-fused state as false targets; The false target identification step includes: S21. Traverse the secondary radar target list; S22. Query whether there are multiple secondary radar targets with the same air traffic control code and similar altitude. If so, mark the secondary radar targets with the same air traffic control code and similar altitude as possible false targets; S23. Query the fused state of the targets marked as possible false targets in step S22. If at least one possible false target is in the fused state, identify the targets in the fused state as real targets, and the targets in the non-fused state as false targets; Step S23 is specifically: First, set a possible false target as the current target, and judge whether the current target is in the fused state: If it is not in the fused state, then judge whether there is a possible false target in the other possible false targets that is in the fused state. If at least one of the other possible false targets is in the fused state, the current target is identified as a false target; If the current target is in the fused state, it is identified as a real target, and the other possible false targets in the fused state are also identified as real targets, and the possible false targets not in the fused state are identified as false targets.

2. The method for identifying false targets of secondary radar according to claim 1, characterized in that, the target list fusion step includes: S11. Select a target from the secondary radar target list as the current secondary radar target; S12. Traverse the ADS-B target list, query whether the current secondary radar target is in the fused state. If it is not in the fused state, compare the position information of the current secondary radar target with the position information of the unfused ADS-B targets. If the position information of both is within the fusion threshold, mark the states of both the secondary radar target and the ADS-B target as the fused state, otherwise mark them as the non-fused state; S13. Judge whether all the targets in the secondary radar target list have completed state marking. If so, end the target fusion step, otherwise jump to step S14; S14. Re-select a target from the secondary radar target list as the current secondary radar target, and jump to step S12.

3. The method for identifying false targets of secondary radar according to claim 2, characterized in that, the position information includes distance difference, azimuth difference and altitude difference.

4. The method for identifying false targets of secondary radar according to any one of claims 1 to 3, characterized in that, further comprising the following steps: Target list generation steps: Receive secondary radar targets and generate a secondary radar target list; receive ADS-B targets and generate an ADS-B target list.

5. The secondary radar false target recognition method according to claim 4, wherein, the step of receiving secondary radar targets and generating a secondary radar target list specifically includes: receiving secondary radar targets, identifying different targets through position correlation, and storing them in the secondary radar target list; the step of receiving ADS-B targets and generating an ADS-B target list specifically includes: receiving ADS-B targets, identifying different targets through S-mode addresses, converting the geodetic coordinates of the ADS-B targets into polar coordinates relative to the position of the secondary radar, and storing the ADS-B target information including polar coordinate information and the identified targets in the ADS-B target list.

6. A secondary radar false target recognition system, wherein, it includes the following modules: A target list generation module, configured to receive secondary radar targets and ADS-B targets, and correspondingly generate a secondary radar target list and an ADS-B target list; A target list fusion module: configured to fuse the ADS-B target list and the secondary radar target list, mark the successfully fused targets as the fused state, and mark the failed fused targets as the non-fused state; A false target recognition module, configured to query whether there are multiple secondary radar targets with the same air traffic control code and similar altitudes in the secondary radar target list, and mark the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets; and query the fusion state of the possible false targets. When it is queried that at least one possible false target is in the fused state, the targets in the fused state are recognized as real targets, and the targets in the non-fused state are recognized as false targets; The false target recognition steps performed by the false target recognition module include: S21. Traverse the secondary radar target list; S22. Query whether there are multiple secondary radar targets with the same air traffic control code and similar altitudes. If so, mark the secondary radar targets with the same air traffic control code and similar altitudes as possible false targets; S23. Query the fusion state of the possible false targets marked in step S22. If at least one possible false target is in the fused state, then recognize the targets in the fused state as real targets, and recognize the targets in the non-fused state as false targets; Step S23 is specifically: First, set a possible false target as the current target, and judge whether the current target is in the fused state: If it is not in the fused state, then judge whether there is a possible false target in the fused state among other possible false targets. If at least one of the other possible false targets is in the fused state, the current target is recognized as a false target; If the current target is in the fused state, it is recognized as a real target, and the other possible false targets in the fused state are also recognized as real targets, and the possible false targets not in the fused state are recognized as false targets.

7. The secondary radar false target recognition system according to claim 6, wherein, The target list generation module includes a secondary radar target list generation module and an ADS-B target list generation module, where: The secondary radar target list generation module is configured to receive secondary radar targets, identify different targets through position correlation, and store them in the secondary radar target list; The ADS-B target list generation module is configured to receive ADS-B targets, identify different targets through S-mode addresses, convert the geodetic coordinates of the ADS-B targets into polar coordinates relative to the position of the secondary radar, and store the ADS-B target information including polar coordinate information and the identified targets in the ADS-B target list; The target list fusion module includes: The current secondary radar target setting module is configured to select a target from the secondary radar target list as the current secondary radar target; The fusion status query and status marking module is configured to traverse the ADS-B target list, query whether the current secondary radar target is in a fused state. If it is not in a fused state, compare the position information of the current secondary radar target with the position information of the unfused ADS-B targets. If the position information of both is within the fusion threshold, mark the status of both the secondary radar target and the ADS-B target as the fused state; otherwise, mark it as the non-fused state; The judgment module is configured to judge whether all the targets in the secondary radar target list have completed status marking. If so, end the target fusion; otherwise, drive the current secondary radar setting module, the fusion status query and status marking module, and the judgment module to work again.

8. A computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein, when the processor executes the computer program, it implements the secondary radar false target recognition method according to any one of claims 1 to 5.

9. A computer-readable storage medium storing a computer program, wherein, when the computer program is executed by a processor, it implements the secondary radar false target recognition method according to any one of claims 1 to 5.

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