CN115718292A - Secondary radar point trace self-adaptive optimization method and device - Google Patents
Secondary radar point trace self-adaptive optimization method and device Download PDFInfo
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Abstract
The invention discloses a secondary radar point self-adaptive optimization method and a device, which realize the automatic processing of the point, reduce the workload of technicians, effectively avoid errors caused by the difference of the technical level of the technicians and improve the reliability of a system by predetermining relevant parameters of point processing and filtering, point-related self-adaptive optimization and point-agglomeration self-adaptive optimization of electrodes according to the relevant parameters.
Description
Technical Field
The invention relates to the field of secondary radar data processing, in particular to a secondary radar point tracking self-adaptive optimization method and device.
Background
The secondary radar trace processing is to process an original response signal generated in a detection period to form a trace, and is mainly divided into false target elimination, trace correlation and trace aggregation. The trace point processing needs to adjust trace point processing parameters according to the characteristics of a secondary radar platform, and technical personnel usually adjust the parameters according to the actual trace point effect field. The traditional method for adjusting the trace processing parameters by means of technicians on the secondary radar installation site has the defects that a large amount of manpower resources are consumed due to the fact that the secondary radar is arranged in a large number of places, and the parameter manual adjustment method has the defect that the parameters are improperly adjusted due to errors of the technicians in the operation process, so that the trace point quality of the secondary radar is influenced, and the system performance of the secondary radar is adversely affected.
Disclosure of Invention
The invention aims to provide a secondary radar point self-adaptive optimization method and a secondary radar point self-adaptive optimization device, which solve the problems in the prior art.
The invention is realized by the following technical scheme:
in a first aspect, the present invention provides a quadratic radar locus adaptive optimization method, including:
acquiring an amplitude distance incidence relation corresponding to the response signal, and filtering the target response signal based on the amplitude distance incidence relation to obtain a primarily processed target response signal;
acquiring a target response azimuth of a response target, and performing trace-point correlation adaptive optimization on the primary processed target response signal based on the target response azimuth to obtain a secondary processed target response signal;
and acquiring a detection period parameter and a coding interval parameter of the secondary radar, and performing point trace condensation adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter to obtain a point trace adaptive optimization result.
In a possible implementation manner, obtaining an amplitude distance correlation corresponding to the response signal includes:
obtaining a plurality of sample response signals of the secondary radar and the response target at different distances, and obtaining a plurality of sample response signals corresponding to each distance;
removing the sample response signals with the occurrence frequency less than a target threshold value from the plurality of sample response signals corresponding to each distance to obtain a plurality of real response signals corresponding to each distance;
and determining the minimum response signal amplitude in the plurality of real response signals, and taking the minimum response signal amplitude as a target expected signal amplitude value of the corresponding distance to obtain an amplitude distance correlation corresponding to the response signal.
In a possible implementation manner, filtering the target response signal based on the amplitude-distance correlation to obtain a primary processed target response signal includes:
acquiring the target actual signal amplitude of the target response signal and the target distance between the response target sending the target response signal and the secondary radar;
determining a target expected signal amplitude value corresponding to the target distance according to the amplitude distance incidence relation corresponding to the response signal;
judging whether the amplitude of the target actual signal is smaller than the amplitude of the target expected signal, if so, judging that the target response signal is a false signal and filtering the false signal, otherwise, judging that the target response signal is a real signal;
and traversing all the target response signals to obtain the primarily processed target response signals.
In a possible implementation manner, after filtering the target response signal based on the amplitude-distance correlation relationship to obtain a primary processed target response signal, the method further includes: acquiring a response starting position alpha 1 and a response ending position alpha 2 of a real response signal, and acquiring a system beam width phi according to the response starting position alpha 1 and the response ending position alpha 2 as follows:
Φ＝α2-α1。
in one possible implementation, obtaining a target response orientation of a response target, and performing trace-point correlation adaptive optimization on a primary processed target response signal based on the target response orientation includes:
acquiring a target response direction of a response target, and acquiring a response starting direction and a response ending direction of a target response signal;
judging whether the difference value between the response starting position and the response ending position of the target response signal is within a position correlation threshold value, if so, judging that the position correlation is successful, reserving the target response signal, and otherwise, filtering the corresponding target response signal;
and traversing all the primary processed target response signals to obtain secondary processed target response signals.
In one possible embodiment, the orientation correlation threshold value is 1/2 Φ.
In one possible implementation, acquiring the detection period parameters of the secondary radar includes:
when the azimuth angle of the secondary radar scanning line changes, judging whether the scanning line passes through the due north, if so, recording the time of passing through the due north, otherwise, repeating the step;
according to the time P1 and the time P2 of passing through the north of two consecutive times, acquiring the detection period parameters of the secondary radar as follows: p = P2-P1.
In one possible implementation, acquiring the encoding interval parameter of the secondary radar includes: and acquiring the time of transmitting the scanning lines twice before and after the secondary radar, wherein the interval between the time of transmitting the scanning lines twice before and after is used as a coding interval parameter T.
In one possible implementation, the point trace agglomeration adaptive optimization of the secondary processed target response signal according to the detection period parameter and the encoding interval parameter includes:
according to the detection period parameter P and the coding interval parameter T, and in combination with the system beam width phi, obtaining the target effective response times N as follows:
and judging whether the target actual response of the response target is greater than the target effective response times N, if so, judging that the response target is an effective target to obtain a trace point self-adaptive optimization result so as to carry out trace point agglomeration treatment, otherwise, judging that the response target is an invalid target, and ending the trace point self-adaptive optimization process.
In a second aspect, the invention provides a quadratic radar point trace adaptive optimization device, which comprises a filtering module, a point trace correlation adaptive optimization module and a point trace agglomeration adaptive optimization module;
the filtering module is used for acquiring an amplitude distance incidence relation corresponding to the response signal and filtering the target response signal based on the amplitude distance incidence relation to obtain a primarily processed target response signal;
the trace point correlation self-adaptive optimization module is used for acquiring a target response azimuth of a response target, and performing trace point correlation self-adaptive optimization on the primary processed target response signal based on the target response azimuth to obtain a secondary processed target response signal;
and the point trace condensation self-adaptive optimization module is used for acquiring the detection period parameter and the coding interval parameter of the secondary radar, and performing point trace condensation self-adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter to obtain a point trace self-adaptive optimization result.
According to the secondary radar point self-adaptive optimization method and device, relevant parameters of point processing are determined in advance, and filtering, point related self-adaptive optimization and point agglomeration self-adaptive optimization are performed on the electrodes according to the relevant parameters, so that automatic point processing is achieved, the workload of technicians is reduced, errors caused by technical level differences of the technicians are effectively avoided, and the reliability of the system is improved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that those skilled in the art may also derive other related drawings based on these drawings without inventive effort. In the drawings:
fig. 1 is a flowchart of a secondary radar locus adaptive optimization method according to an embodiment of the present disclosure.
Fig. 2 is a schematic structural diagram of a secondary radar spot adaptive optimization apparatus according to an embodiment of the present disclosure.
Fig. 3 is a schematic structural diagram of a secondary radar spot adaptive optimization device according to an embodiment of the present application.
Reference numbers and corresponding part names in the drawings:
21-filtering module, 22-trace point correlation adaptive optimization module, 23-trace point agglomeration adaptive optimization module, 31-memory, 32-processor and 33-bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a secondary radar spot adaptive optimization method, including:
s11, obtaining an amplitude distance incidence relation corresponding to the response signal, and filtering the target response signal based on the amplitude distance incidence relation to obtain the primarily processed target response signal.
The amplitude of the signal transmitted by the secondary radar target is basically fixed, so after space attenuation of different distances, the amplitude of the signal received by the secondary radar has a corresponding relation with the distance, and the corresponding relation is an STC (time-to-date) curve and is used for inhibiting false targets of the secondary radar.
Therefore, after the amplitude distance incidence relation corresponding to the response signal can be obtained, the amplitude corresponding to the target response signal is determined through the real distance between the secondary radar and the response target, and therefore filtering of the false target can be carried out according to the amplitude corresponding to the target response signal.
And S12, acquiring a target response azimuth of the response target, and performing trace-point correlation adaptive optimization on the primary processed target response signal based on the target response azimuth to obtain a secondary processed target response signal.
The direction correlation can be performed according to the target response direction of the response target, and if the direction correlation is successful, the target response signal can be judged to be real.
S13, acquiring a detection period parameter and a coding interval parameter of the secondary radar, and performing point-trace condensation adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter to obtain a point-trace adaptive optimization result.
The trace point agglomeration self-adaptive optimization can comprise verification of target effective response times, and the response target with the target effective response times lower than a threshold value is taken as a false target.
In a possible implementation manner, obtaining an amplitude distance correlation corresponding to the response signal includes:
and acquiring a plurality of sample response signals of the secondary radar and the response target at different distances to obtain a plurality of sample response signals corresponding to each distance.
And eliminating the sample response signals with the occurrence frequency less than a target threshold value in the plurality of sample response signals corresponding to each distance to obtain a plurality of real response signals corresponding to each distance.
And determining the minimum response signal amplitude in the plurality of real response signals, and taking the minimum response signal amplitude as a target expected signal amplitude value of the corresponding distance to obtain an amplitude distance correlation corresponding to the response signal.
And obtaining a corresponding incidence relation table of the target distance and the amplitude of the response signal according to the STC curve generated by statistics, bringing the received response target distance into the corresponding table to obtain the expected target signal amplitude, and comparing the expected target signal amplitude with the actual target signal amplitude. And if the actual signal amplitude value of the target is smaller than the expected signal amplitude value of the target, the response is considered as a false response, and the false response is eliminated.
In a possible implementation manner, the filtering the target response signal based on the amplitude-distance correlation relationship to obtain a primarily processed target response signal includes:
and acquiring the target actual signal amplitude of the target response signal and the target distance between the response target sending the target response signal and the secondary radar.
And determining a target expected signal amplitude value corresponding to the target distance according to the amplitude distance correlation corresponding to the response signal.
And judging whether the amplitude of the target actual signal is smaller than the amplitude value of the target expected signal, if so, judging that the target response signal is a false signal and filtering the false signal, and otherwise, judging that the target response signal is a real signal.
And traversing all the target response signals to obtain the primarily processed target response signals.
In a possible implementation manner, after filtering the target response signal based on the amplitude-distance correlation relationship to obtain a primarily processed target response signal, the method further includes: acquiring a response starting position alpha 1 and a response ending position alpha 2 of a real response signal, and acquiring a system beam width phi according to the response starting position alpha 1 and the response ending position alpha 2 as follows:
Φ＝α2-α1。
in one possible implementation, obtaining a target response orientation of a response target, and performing trace-point correlation adaptive optimization on the primarily processed target response signal based on the target response orientation, includes:
and acquiring a target response position of the response target to obtain a response starting position and a response ending position of the target response signal.
And judging whether the difference value between the response starting position and the response ending position of the target response signal is within a position correlation threshold value, if so, judging that the position correlation is successful, and reserving the target response signal, otherwise, filtering the corresponding target response signal.
And traversing all the primary processed target response signals to obtain secondary processed target response signals.
In one possible embodiment, the orientation correlation threshold is 1/2 Φ.
The main parameter related to trace point correlation is a direction correlation threshold, the response directions of the targets are compared, and if the difference value of the directions of the two is within the direction correlation threshold, the direction correlation is considered to be successful. And obtaining the beam width phi through the preamble step, wherein the azimuth correlation threshold in the point trace correlation is self-adaptive to the beam width phi of one half.
In one possible implementation, acquiring the detection period parameters of the secondary radar includes:
and when the azimuth angle of the secondary radar scanning line changes, judging whether the scanning line passes through the due north, if so, recording the time of passing through the due north, and otherwise, repeating the step.
According to the time P1 and the time P2 of passing through the north twice continuously, acquiring the detection period parameters of the secondary radar as follows: p = P2-P1.
The secondary radar antenna is usually mounted on a mechanical turntable, and the secondary radar can continuously perform coded interrogation during the rotation of the mechanical turntable. The scanning line azimuth refers to the azimuth pointing angle of the antenna relative to the true north at the current moment when the secondary radar performs coding inquiry every time. And judging whether the current scanning line passes through due north or not through the change of the azimuth angle of the scanning line, and marking the time P1 and the time P2 of passing through due north twice before and after the current scanning line, so as to obtain the detection period P of the system.
In one possible implementation, acquiring the encoding interval parameter of the secondary radar includes: and acquiring the time of transmitting the scanning lines twice before and after the secondary radar, wherein the interval between the time of transmitting the scanning lines twice before and after is used as a coding interval parameter T.
In one possible implementation, the point trace agglomeration adaptive optimization of the secondary processed target response signal according to the detection period parameter and the encoding interval parameter includes:
according to the detection period parameter P and the coding interval parameter T, and in combination with the system beam width phi, obtaining the target effective response times N as follows:
and judging whether the target actual response of the response target is greater than the target effective response times N, if so, judging that the response target is an effective target to obtain a trace point self-adaptive optimization result so as to carry out trace point agglomeration treatment, otherwise, judging that the response target is an invalid target, and ending the trace point self-adaptive optimization process.
According to the secondary radar point trace self-adaptive optimization method, relevant parameters of point trace processing are determined in advance, and filtering, point trace relevant self-adaptive optimization and point trace condensation self-adaptive optimization are performed on the electrodes according to the relevant parameters, so that automatic point trace processing is achieved, the workload of technicians is reduced, errors caused by technical level differences of the technicians are effectively avoided, and the reliability of the system is improved.
Example 2
As shown in fig. 2, the present invention provides a quadratic radar trace adaptive optimization apparatus, which includes a filtering module 21, a trace-dependent adaptive optimization module 22, and a trace-agglomeration adaptive optimization module 23.
The filtering module 21 is configured to obtain an amplitude distance association relationship corresponding to the response signal, and filter the target response signal based on the amplitude distance association relationship to obtain a primarily processed target response signal.
The trace point correlation adaptive optimization module 22 is configured to obtain a target response azimuth of the response target, and perform trace point correlation adaptive optimization on the primary processed target response signal based on the target response azimuth to obtain a secondary processed target response signal.
The trace point aggregation adaptive optimization module 23 is configured to obtain a detection period parameter and a coding interval parameter of the secondary radar, and perform trace point aggregation adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter, so as to obtain a trace point adaptive optimization result.
The secondary radar trace adaptive optimization apparatus in this embodiment may perform the method technical solution described in embodiment 1, and the beneficial effects and principles thereof are similar, and are not described herein again.
Example 3
As shown in fig. 3, the present embodiment provides a quadratic radar spot trace adaptive optimization apparatus, which includes a memory 31 and a processor 32, where the memory 31 and the processor 32 are connected to each other through a bus 33.
The memory 31 stores computer-executable instructions.
The processor 32 executes the computer executable instructions stored in the memory to cause the processor to perform a method of quadratic radar footprint adaptive optimization as described in embodiment 1.
For example, the Memory may include, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Flash Memory (Flash Memory), a First In First Out (FIFO), a First In Last Out (FILO), and/or a First In Last Out (FILO); in particular, the processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array), and meanwhile, the processor may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a CPU (Central Processing Unit); a coprocessor is a low power processor for processing data in a standby state.
In some embodiments, the processor may be integrated with a GPU (Graphics Processing Unit) which is responsible for rendering and drawing contents required to be displayed on the display screen, for example, the processor may not be limited to a processor using a model STM32F105 series microprocessor, a Reduced Instruction Set Computer (RISC) microprocessor, an X86 or the like architecture processor or an integrated embedded neural Network Processor (NPU); the transceiver may be, but is not limited to, a wireless fidelity (WIFI) wireless transceiver, a bluetooth wireless transceiver, a General Packet Radio Service (GPRS) wireless transceiver, a ZigBee wireless transceiver (ieee802.15.4 standard-based low power local area network protocol), a 3G transceiver, a 4G transceiver, and/or a 5G transceiver, etc. In addition, the device may also include, but is not limited to, a power module, a display screen, and other necessary components.
Example 4
The present embodiment provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the computer-readable storage medium is used for implementing a secondary radar locus adaptive optimization method according to embodiment 1.
Example 5
Embodiments of the present application may also provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for adaptive optimization of secondary radar loci according to embodiment 1 is implemented.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A secondary radar point trace self-adaptive optimization method is characterized by comprising the following steps:
acquiring an amplitude distance incidence relation corresponding to the response signal, and filtering the target response signal based on the amplitude distance incidence relation to obtain a primarily processed target response signal;
acquiring a target response azimuth of a response target, and performing trace point correlation adaptive optimization on the primary processed target response signal based on the target response azimuth to obtain a secondary processed target response signal;
and acquiring a detection period parameter and a coding interval parameter of the secondary radar, and performing point trace condensation adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter to obtain a point trace adaptive optimization result.
2. The adaptive optimization method of secondary radar loci according to claim 1, wherein obtaining the amplitude distance correlation corresponding to the response signal comprises:
obtaining a plurality of sample response signals of the secondary radar and the response target at different distances, and obtaining a plurality of sample response signals corresponding to each distance;
removing the sample response signals with the occurrence frequency less than a target threshold value from the plurality of sample response signals corresponding to each distance to obtain a plurality of real response signals corresponding to each distance;
and determining the minimum response signal amplitude in the plurality of real response signals, and taking the minimum response signal amplitude as a target expected signal amplitude value of the corresponding distance to obtain an amplitude distance correlation corresponding to the response signal.
3. The adaptive optimization method of secondary radar loci according to claim 2, wherein the step of filtering the target response signal based on the amplitude distance correlation to obtain a primary processed target response signal comprises:
acquiring the target actual signal amplitude of the target response signal and the target distance between the response target sending the target response signal and the secondary radar;
determining a target expected signal amplitude value corresponding to the target distance according to the amplitude distance incidence relation corresponding to the response signal;
judging whether the amplitude of the target actual signal is smaller than the amplitude of the target expected signal, if so, judging that the target response signal is a false signal and filtering the false signal, otherwise, judging that the target response signal is a real signal;
and traversing all the target response signals to obtain the primarily processed target response signals.
4. The adaptive optimization method for secondary radar trace points according to claim 3, wherein the step of filtering the target response signal based on the amplitude-distance correlation relationship to obtain a primary processed target response signal further comprises the steps of: acquiring a response starting position alpha 1 and a response ending position alpha 2 of a real response signal, and acquiring a system beam width phi according to the response starting position alpha 1 and the response ending position alpha 2 as follows:
Φ＝α2-α1。
5. the secondary radar trace-timing adaptive optimization method according to claim 4, wherein the step of obtaining a target response azimuth of a response target and performing trace-timing related adaptive optimization on the primarily processed target response signal based on the target response azimuth comprises the steps of:
acquiring a target response position of a response target to obtain a response starting position and a response path ending position of a target response signal;
judging whether the difference value between the response starting position and the response ending position of the target response signal is within a position correlation threshold value or not, if so, judging that the position correlation is successful, and retaining the target response signal, otherwise, filtering the corresponding target response signal;
and traversing all the primary processed target response signals to obtain secondary processed target response signals.
6. The adaptive optimization method for quadratic radar loci according to claim 5, wherein the orientation correlation threshold value is 1/2 Φ.
7. The adaptive optimization method for the secondary radar point trace according to any one of claims 4 to 6, wherein the acquiring of the detection period parameters of the secondary radar comprises:
when the azimuth angle of the secondary radar scanning line changes, judging whether the scanning line passes through the due north, if so, recording the time of passing through the due north, otherwise, repeating the step;
according to the time P1 and the time P2 of passing through the north of two consecutive times, acquiring the detection period parameters of the secondary radar as follows: p = P2-P1.
8. The adaptive optimization method of secondary radar point traces according to claim 7, wherein obtaining the encoding interval parameters of the secondary radar comprises: and acquiring the time of transmitting the scanning lines twice before and after the secondary radar, wherein the interval between the time of transmitting the scanning lines twice before and after is used as a coding interval parameter T.
9. The secondary radar trace-adaptive optimization method according to claim 8, wherein the performing of the trace-agglomeration adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter comprises:
according to the detection period parameter P and the coding interval parameter T, and in combination with the system beam width phi, obtaining the target effective response times N as follows:
and judging whether the target actual response of the response target is greater than the target effective response times N, if so, judging that the response target is an effective target to obtain a trace point self-adaptive optimization result so as to carry out trace point agglomeration treatment, otherwise, judging that the response target is an invalid target, and ending the trace point self-adaptive optimization process.
10. A secondary radar point trace self-adaptive optimization device is characterized by comprising a filtering module, a point trace correlation self-adaptive optimization module and a point trace agglomeration self-adaptive optimization module;
the filtering module is used for acquiring an amplitude distance incidence relation corresponding to the response signal and filtering the target response signal based on the amplitude distance incidence relation to obtain a primarily processed target response signal;
the trace point correlation self-adaptive optimization module is used for acquiring a target response azimuth of a response target, and performing trace point correlation self-adaptive optimization on the primary processed target response signal based on the target response azimuth to obtain a secondary processed target response signal;
and the point trace condensation self-adaptive optimization module is used for acquiring the detection period parameter and the coding interval parameter of the secondary radar, and performing point trace condensation self-adaptive optimization on the secondary processed target response signal according to the detection period parameter and the coding interval parameter to obtain a point trace self-adaptive optimization result.
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