A method for dynamically adjusting radar data rate of gun position detection based on clutter statistics

Abstract

This invention specifically relates to a dynamic adjustment method for the data rate of artillery position reconnaissance radar based on clutter statistics. When the artillery position reconnaissance radar is in a clutter environment, the method learns the environment in the radar detection area, statistically analyzes the clutter information in the current radar operating environment, and adaptively adjusts the radar operating parameters or corrects the clutter filtering criteria to improve the radar data rate.

Description

Technical Field

[0001] This invention relates to the field of radar technology, and specifically to a method for dynamically adjusting the data rate of artillery position detection radar based on clutter statistics. Background Technology

[0002] In related technologies, artillery locating radar is a type of ground-based artillery radar. It primarily uses a "search screen" to capture and track the trajectory of projectiles in the air, deducing enemy artillery positions or the impact point of friendly projectiles. Effective projectile tracking requires the radar to alternately synthesize search, confirmation, and tracking beams according to operational needs, and to perform internal data processing. The search beam is used to form the "search screen" to capture targets entering the search airspace; confirmation is used to determine the target's authenticity and calculate its velocity; and tracking is used to form the target's trajectory. Due to the complex operating environment, the radar faces severe clutter interference. Clutter entering the confirmation or tracking stages wastes a significant amount of system time resources, reducing the probability of a projectile passing through the "search screen" and being effectively captured.

[0003] Traditionally, when radar data rates decrease due to clutter interference, manual intervention is required to adjust the radar's operating parameters. However, manual adjustment is slow, has low accuracy, and requires operators to have a certain level of radar knowledge and experience. In complex and variable electromagnetic environments, it is difficult to meet the actual work requirements.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] This invention provides a method for dynamically adjusting the data rate of artillery position detection radar based on clutter statistics, and a computer program product, which can effectively overcome the defects existing in the prior art.

[0006] Other features and advantages of the invention will become apparent from the following detailed description, or may be learned in part by practice of the invention.

[0007] According to a first aspect of the present invention, a method for dynamically adjusting the data rate of a gun locating radar based on clutter statistics is provided, the method comprising: Configure the target radar's corresponding parameter adaptive adjustment basic data and parameters to be adjusted; and control the radar to work based on the current configuration parameters; wherein, the parameter adaptive adjustment basic data includes the projectile penetration time for different initial velocities and different firing angles, the probability of missed detection of the target across the entire velocity range under different Doppler channel removal, and the intervention threshold of the scanning cycle; Acquire echo signals within the airspace of radar targets, perform clutter detection based on the echo signals, and generate corresponding spot detection results; Multi-dimensional information statistics are performed on the spot detection results to obtain the corresponding multi-dimensional feature extraction data; among which, the multi-dimensional feature extraction data includes: the number of targets based on azimuth dimension features and distance dimension features, and the number of targets in each Doppler channel based on different pulse repetition intervals (PRI); When it is confirmed that the current scanning cycle meets the preset intervention conditions, the current adjustment parameters are determined by combining multi-dimensional feature extraction data and current configuration parameters, and the current adjustment parameters are dynamically adjusted based on the preset adjustment strategy so that the target radar can perform the parameters after dynamic adjustment.

[0008] In some exemplary implementations, configuration parameters adaptively adjust the base data and control the radar to operate according to the current configuration parameters, including: Obtain the basic data for adaptive adjustment of parameters configured by the user on the client terminal and send it to the central machine; The central unit controls the radar operation based on the current configuration parameters.

[0009] In some exemplary embodiments, the radar's current configuration parameters include at least one of the following parameters: Noise threshold parameters, CFAR threshold parameters, clutter map threshold parameters, Doppler channel removal settings, and dividing the entire detection distance into several segments according to preset rules.

[0010] In some exemplary embodiments, acquiring the radar echo signal over the target airspace, performing clutter detection based on the echo signal, and generating corresponding spot detection results include: The echo signal is sequentially subjected to AD sampling, down-conversion, beamforming, pulse compression processing, and coherent accumulation to obtain clutter detection results. The clutter detection results include the distribution of clutter points in different distance segments, different wave positions, and different Doppler channels.

[0011] In some exemplary implementations, confirming that the current scanning cycle meets preset intervention conditions includes: When the current scanning cycle exceeds the preset intervention threshold, a parameter adjustment request is sent to the central computer. The central computer uses a sliding window with a 10-coherent processing interval (CPI) to count the current radar scanning cycle and compares it with the intervention threshold.

[0012] In some exemplary implementations, the current adjustment parameter is determined by combining multi-dimensional feature extraction data and current configuration parameters, including: By combining multi-dimensional feature extraction data, current configuration parameters, and preset parameter priorities, the current adjustment parameters and their corresponding priorities are determined.

[0013] In some exemplary embodiments, the current adjustment parameter is dynamically adjusted based on a preset adjustment strategy, including: Obtain the current Doppler rejection value and adjust it to subtract the value of the first target; and compare the scanning cycle with the preset intervention threshold; When it is confirmed that the scanning cycle is greater than the intervention threshold, based on the first numerical adjustment strategy, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient corresponding to the first 3 distance segments are adjusted from low to high according to the threshold effectiveness ratio; and the scanning cycle is compared with the preset intervention threshold. When it is confirmed that the scanning period is greater than the intervention threshold, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient of the first three distance segments are adjusted based on the second numerical adjustment strategy.

[0014] In some exemplary embodiments, the method further includes: After executing the second numerical adjustment strategy, if the scanning period is greater than the intervention threshold but less than the risk threshold, parameter adjustment is stopped; and the current operating parameters of the target radar are marked as intervention parameters.

[0015] In some exemplary embodiments, the method further includes: When it is confirmed that the scanning period is greater than the intervention threshold, the Doppler channel is configured to remove the second target value; and the scanning period is compared with the preset risk threshold. When it is confirmed that the scanning cycle is greater than the preset risk threshold, for areas where the number of targets is greater than the preset threshold, the noise threshold is reconfigured according to the target distance and the preset signal-to-noise ratio parameter. A second threshold judgment is performed based on the reconfigured noise threshold; targets below the second threshold are not transferred to the confirmation process; and the scanning cycle is compared with a preset risk threshold. When the scan cycle is determined to be greater than the preset risk threshold, check whether there is a Doppler channel with a target number that is continuously greater than the average number of targets in the second target channel, except for the second target value in the statistical period. If so, configure the pulse repetition interval PRI to prevent the target reported in the Doppler channel from being transferred to the confirmation process.

[0016] According to a second aspect of the present invention, a computer program product is provided, on which a computer program is stored, and when the computer program is executed by a processor, the above-described method for dynamic adjustment of the data rate of artillery position detection radar based on clutter statistics is implemented.

[0017] The clutter statistics-based dynamic adjustment method for artillery locating radar data rate provided in this invention pre-configures basic data and parameters to be adjusted for adaptive adjustment corresponding to the target radar; controls the radar to operate based on the currently configured parameters; performs clutter detection on the echo signal received by the radar to generate corresponding point detection results; performs multi-dimensional information statistics on the point detection results to obtain corresponding multi-dimensional feature extraction data; determines the current adjustment parameters based on the judgment result of the current scanning cycle, combined with the multi-dimensional feature extraction data and the current configuration parameters, and dynamically adjusts the current adjustment parameters based on a preset adjustment strategy to achieve adaptive adjustment of radar parameters. By effectively learning clutter information within the radar's working area, adaptive adjustment of radar operating parameters is achieved, thereby maximizing the effective acquisition of projectile targets.

[0018] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention. It is obvious that the drawings described below are merely some embodiments of the invention, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0020] Figure 1 This diagram illustrates an exemplary embodiment of the present invention: a method for dynamically adjusting the data rate of a gun locating radar based on clutter statistics. Figure 2 This diagram illustrates an adaptive parameter adjustment process according to an exemplary embodiment of the present invention. Figure 3 This schematic diagram illustrates a radar data rate dynamic adjustment system according to an exemplary embodiment of the present invention. Figure 4 The diagram illustrates the composition of an electronic device according to an exemplary embodiment of the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the invention will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0022] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0023] To address the shortcomings and deficiencies of existing technologies, this example embodiment provides a dynamic data rate adjustment method for gun locating radar based on clutter statistics. This method can be applied to gun locating radar in cluttered environments, ensuring effective interception of projectiles within the search screen's timeframe through adaptive parameter adjustment. Specifically, refer to... Figure 1 As shown, the method includes: Step S11: Configure the basic data for adaptive adjustment of the target radar parameters and the parameters to be adjusted; and control the radar to work based on the current configuration parameters; wherein, the basic data for adaptive adjustment of parameters includes the projectile penetration time for different initial velocities and different firing angles, the probability of missed detection in the full velocity range of the target under different Doppler channel removal, and the intervention threshold of the scanning cycle; Step S12: Obtain the echo signal in the airspace of the radar target, perform clutter detection on the echo signal and generate the corresponding spot detection result; Step S13: Perform multi-dimensional information statistics on the spot detection results to obtain the corresponding multi-dimensional feature extraction data; wherein, the multi-dimensional feature extraction data includes: the number of targets based on azimuth dimension features and distance dimension features, and the number of targets in each Doppler channel based on different pulse repetition intervals (PRI); Step S14: When it is confirmed that the current scanning cycle meets the preset intervention conditions, the current adjustment parameters are determined by combining the multi-dimensional feature extraction data and the current configuration parameters, and the current adjustment parameters are dynamically adjusted based on the preset adjustment strategy so that the target radar can perform the parameters after dynamic adjustment.

[0024] The following will describe in more detail each step of the clutter statistics-based dynamic adjustment method for artillery position detection radar data rate in this exemplary embodiment, with reference to the accompanying drawings and embodiments.

[0025] In step S11, the basic data for adaptive adjustment of the target radar parameters and the parameters to be adjusted are configured; and the radar is controlled to work based on the current configuration parameters; wherein, the basic data for adaptive adjustment of the parameters includes the projectile penetration time for different initial velocities and different firing angles, the probability of missed detection in the full velocity range of the target under different Doppler channel removal, and the intervention threshold of the scanning cycle.

[0026] For example, configuring parameters to adaptively adjust basic data and control the radar to operate according to the current configuration parameters includes: Step S21: Obtain the basic data for adaptive adjustment of parameters configured by the user on the client terminal and send it to the central machine; Step S22: The central unit controls the radar operation based on the current configuration parameters.

[0027] Specifically, users can pre-select / configure basic data on their user-side terminal devices and send it to the central unit. The central unit connects to radar signal processing, frequency synthesizer, and other equipment to control the radar's operating status based on the current configuration parameters. The basic data serves as the theoretical basis for adaptive parameter adjustment, including the projectile penetration time at different initial velocities and angles, and the intervention threshold for the scanning cycle.

[0028] The parameters to be adjusted can have a substantial impact on the system's detection probability, including the probability of missed detection across the entire velocity range of the target under different Doppler channel removal, the maximum detection power of the system under different distance segments, different noise thresholds, CFAR (Constant False Alarm Rate) thresholds, clutter map thresholds, and the system's optimal default operating parameters.

[0029] In step S12, the echo signal of the radar target airspace is acquired, clutter detection is performed on the echo signal, and corresponding spot detection results are generated.

[0030] For example, step S12 may include: sequentially performing AD sampling, downconversion, beamforming, pulse compression processing, and coherent accumulation on the echo signal to obtain clutter detection results; wherein, the clutter detection results include the distribution of clutter points in different distance segments, different wave positions, and different Doppler channels.

[0031] Specifically, for artillery locating radar, all non-projectile targets are considered "clutter." The radar operates under pre-set default parameters, performing detection and clutter assessment. Clutter detection in the radar's operating environment is a collaborative effort across the entire radar system. The radar system provides a target detection module to generate a detection report, which is then uploaded to the central subsystem for further processing. This detection report may include point detection results.

[0032] In step S13, multi-dimensional information statistics are performed on the spot detection results to obtain the corresponding multi-dimensional feature extraction data; wherein, the multi-dimensional feature extraction data includes: the number of targets based on azimuth dimension features and distance dimension features, and the number of targets in each Doppler channel based on different pulse repetition intervals PRI.

[0033] Specifically, the central unit is responsible for performing feature statistics on the "clutter" information reported by the target detection module. This mainly includes the distribution of clutter points at different distances, at different wavelengths, and in different Doppler channels; and the effectiveness of each detection threshold at different distances.

[0034] In step S14, when it is confirmed that the current scanning cycle meets the preset intervention conditions, the current adjustment parameters are determined by combining multi-dimensional feature extraction data and current configuration parameters, and the current adjustment parameters are dynamically adjusted based on the preset adjustment strategy so that the target radar can perform the parameters after dynamic adjustment.

[0035] For example, confirming that the current scanning cycle meets preset intervention conditions includes: When the current scanning cycle exceeds the preset intervention threshold, a parameter adjustment request is sent to the central computer. The central computer uses a sliding window with a 10-coherent processing interval (CPI) to count the current radar scanning cycle and compares it with the intervention threshold.

[0036] Specifically, while performing multi-dimensional information statistics on the detection report, the central unit is responsible for real-time statistics of the current scanning cycle. To smooth the statistical results, a sliding window statistical analysis is performed with a cycle of 10 CPIs. To wait for the updated parameters to take effect, the scanning cycle statistics begin after 10 parameter updates. The scanning cycle statistical results are then reported to the parameter adjustment module.

[0037] For example, the current adjustment parameters are determined by combining multi-dimensional feature extraction data and current configuration parameters, including: By combining multi-dimensional feature extraction data, current configuration parameters, and preset parameter priorities, the current adjustment parameters and their corresponding priorities are determined.

[0038] For example, dynamically adjusting the current adjustment parameter based on a preset adjustment strategy includes: Step S31: Obtain the current Doppler removal value and adjust it to remove the value of the first target; and compare the scanning cycle with the preset intervention threshold. Step S32: When it is confirmed that the scanning cycle is greater than the intervention threshold, based on the first numerical adjustment strategy, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient corresponding to the first 3 distance segments are adjusted from low to high according to the threshold effectiveness ratio; and the scanning cycle is compared with the preset intervention threshold. Step S33: When it is confirmed that the scanning period is greater than the intervention threshold, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient of the first three distance segments are adjusted based on the second numerical adjustment strategy.

[0039] For example, the method further includes: Step S34: After executing the second numerical adjustment strategy, if the scanning period is greater than the intervention threshold and less than the risk threshold, stop the parameter adjustment; and mark the current working parameters of the target radar as intervention parameters.

[0040] For example, the method further includes: Step S35: When it is confirmed that the scanning period is greater than the intervention threshold, configure the Doppler channel to remove the second target value; and compare the scanning period with the preset risk threshold. Step S36: When it is confirmed that the scanning cycle is greater than the preset risk threshold, for areas where the number of targets is greater than the preset threshold, the noise threshold is reconfigured according to the target distance and the preset signal-to-noise ratio parameter. Step S37: Based on the reconfigured noise threshold, a second threshold judgment is performed. Targets below the second threshold are not transferred to the confirmation process; and the scanning cycle is compared with the preset risk threshold. Step S38: When it is determined that the scanning period is greater than the preset risk threshold, check whether there is a Doppler channel with a target number that is continuously greater than the average target number of the second target value channel, except for the second target value channel within the statistical period; if so, configure the pulse repetition interval PRI to not transfer the target reported by the Doppler channel to the confirmation process.

[0041] Specifically, the central unit parameter adjustment module receives the scan cycle statistics and, by combining the current scan cycle value, scan cycle trend, current detection parameter settings, and detection reports, plans the optimal parameter adjustment options. Once the planning is complete, it is fed back to the central unit command sending module or data processing module, and the planned parameter adjustments are completed in the next working CPI. The scan cycle status is continuously monitored, and the above parameter adjustment feedback mechanism is run cyclically according to the parameter adjustment priority.

[0042] In this exemplary implementation, the above method is illustrated by taking the artillery position reconnaissance and correction radar artillery position reconnaissance long-range sub-mode as an example.

[0043] For example, the preset parameters of the radar artillery position reconnaissance long-range sub-mode are responsible for the effective interception of projectiles in the ±45° airspace within a distance range of [20, 38] km. The theoretical passage time of typical projectiles with different initial velocities and firing angles is shown in Table 1.

[0044] Table 1

[0045] The long-range sub-mode for artillery reconnaissance divides the ±45° airspace into several emission positions, and uses a scanning method with staggered PRI (PRI=[pri1,pri2,pri3]us) between circles to complete the search airspace coverage. The number of accumulated points is 32, and the theoretically calculated detection probabilities under different Doppler channel removal are shown in Table 2.

[0046] Table 2

[0047] Note that this calculation only considers the search probability. To ensure effective target confirmation, the maximum allowable rejection count during confirmation is 0, ±1. Theoretical calculations and analysis of measured data show that when each detection threshold is set to 12dB, the radar has approximately a 6dB capability margin against a projectile (RCS=0.001) at its maximum Rmax. The target signal-to-noise ratio is inversely proportional to the fourth power of the range. To ensure precise matching of thresholds across different range segments, the detection thresholds are controlled by range segment. Considering both the effectiveness of threshold control and the difficulty of system implementation, four range segments are set in the communication protocol.

[0048] Set the radar operating default parameters: Doppler channel rejection to 0, scan cycle intervention threshold to period1 (ms), risk threshold to period2 (ms), and detection threshold to 12dB. Divide the entire detection range into 4 segments as a percentage, including: less than 16.7% (…). ); 16.7%-38.9% ( ); 38.9%-66.7% ( ); greater than 66.7% ( ).

[0049] The threshold coefficients for the four noise, CFAR, and clutter maps are set to C1 = 1.9, C2 = 1.5, C3 = 1.2, and C4 = 1, respectively (corresponding to signal-to-noise ratios of 18dB, 15.5dB, 13.6dB, and 12dB). The radar follows its normal operating procedure to complete AD sampling, down-conversion, beamforming, and transmission of the radar front-end echo to the detection module for pulse compression and target detection reporting. While reporting the target's characteristics in various dimensions, the detection module simultaneously reports the current noise threshold, range-dimensional CFAR threshold, Doppler-dimensional CFAR threshold, and clutter map threshold.

[0050] refer to Figure 3 As shown, a detection module can be provided in the radar system. This module reports the detection results of the target points to the central parameter statistics and adjustment module in real time via a data stream. The parameter statistics and adjustment module performs multi-dimensional feature extraction and statistics on the detection results reported by the system's target detection unit, generating a two-dimensional target count table with azimuth dimension incremented by the transmitted wave position and range dimension incremented by 1km, as well as a target count table for each Doppler channel at different PRI levels. The effective rate of each threshold is also calculated.

[0051] The central computer's scan cycle statistics module is responsible for real-time statistics of the current scan cycle. To smooth the statistical results, a sliding window statistical method is used with a cycle of 10 CPIs. (Reference) Figure 2As shown, when the scanning cycle is greater than the intervention threshold, a parameter adjustment request is sent to the central machine parameter adjustment module. To avoid repeatedly sending parameter adjustment requests when the parameters are ineffective, the parameter adjustment request sending interval is ≥10 scanning cycles.

[0052] When the central unit parameter statistics and adjustment module receives a parameter adjustment request, it evaluates the multi-dimensional statistical results of the detection report. Based on the evaluation results and the current operating parameters, it plans the optimal parameter adjustment options.

[0053] When the scan cycle is determined to be greater than the intervention threshold, the adjustment criteria and priorities are as follows: a) Find the current Doppler subtraction value. If the Doppler subtraction is 0, adjust it to subtraction of 0, ±1. b) If the scanning period is still greater than the intervention threshold after the above operations, adjust the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient of the first three distance segments according to the threshold effectiveness ratio from low to high. Assume that the current values ​​are C1, C2 and C3 (the initial values ​​are C1 = 1.9, C2 = 1.5 and C3 = 1.2 respectively), and the adjusted values ​​are C1+0.4, C2+0.2 and C3+0.1.

[0054] c) When the scanning period is still greater than the intervention threshold, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient of the first 3 distance segments are continuously adjusted until the signal-to-noise ratio margin at the maximum distance of each segment is the same as that of the last segment. In this embodiment, the upper limit of the threshold coefficient is calculated to be C1 = 2.7, C2 = 1.9, and C3 = 1.4.

[0055] d) When the threshold coefficients are C1 = 2.7, C2 = 1.9, C3 = 1.4, C4 = 1, the Doppler channel is 0, ±1, and the scanning period is still greater than the intervention threshold but less than the risk threshold, no parameter adjustment is made. At this time, the radar operating parameters are recorded as "intervention parameters".

[0056] e) When the scanning period is greater than the risk threshold, the Doppler channel elimination is adjusted to eliminate 0, ±1, ±2. f) If the scanning cycle is still greater than the risk threshold, for areas where the number of targets is significantly higher than the average (set to be greater than 3 times the average), the theoretical noise threshold is recalculated in real time based on the target distance with a signal-to-noise ratio margin of 18dB, and a second threshold judgment is performed at the central computer. Targets below the second threshold are not transferred to the confirmation process.

[0057] g) If the scanning period is still greater than the risk threshold, check if there is a Doppler channel outside of Doppler channels 0, ±1, and ±2 within the statistical period where the number of targets is continuously greater than the average number of targets in channels 0, ±1, and ±2. If so, the targets reported by the PRI in that Doppler channel will not be transferred to the confirmation process.

[0058] When the scan cycle changes from being greater than the risk threshold to being less than the risk threshold but greater than the intervention threshold, the detection parameter is set to the "intervention parameter". When the scan cycle is less than the intervention threshold, the detection parameter is set to the "default parameter".

[0059] Once the planning is completed, the central unit parameter adjustment module will send the parameters to be changed to the parameter control module, and after the next instruction interruption arrives, it will issue updated parameters.

[0060] Repeat the above steps until the optimal parameter adjustment option for the plan is no adjustment.

[0061] The method provided in this invention, through effective learning of clutter information within the radar operating area, adaptively adjusts radar operating parameters to maximize the effective acquisition of projectile targets, thereby improving the radar data rate.

[0062] It should be noted that the above figures are merely illustrative of the processes included in the method according to exemplary embodiments of the present invention, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may, for example, be executed synchronously or asynchronously in multiple modules.

[0063] Further reference Figure 3 As shown, this example implementation also provides a method and system for dynamically adjusting the data rate of a gun locating radar based on clutter statistics. Adaptive parameter adjustment is achieved through the coordinated operation of various modules within the radar system, especially the central control subsystem.

[0064] It should be noted that although several modules or units of the device for performing actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0065] Figure 4 A schematic diagram of an electronic device suitable for implementing embodiments of the present invention is shown.

[0066] It should be noted that, Figure 4 The electronic device 1000 shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0067] like Figure 4As shown, the electronic device 1000 includes a Central Processing Unit (CPU) 1001, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 1002 or programs loaded from storage section 1008 into Random Access Memory (RAM) 1003. The RAM 1003 also stores various programs and data required for system operation. The CPU 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An Input / Output (I / O) interface 1005 is also connected to the bus 1004. Furthermore, the electronic device 1000 also includes an FPGA device and a System-on-a-Chip (SoC) device.

[0068] The following components are connected to I / O interface 1005: an input section 1006 including a keyboard, mouse, etc.; an output section 1007 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 1008 including a hard disk, etc.; and a communication section 1009 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to I / O interface 1005 as needed. Removable media 1011, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 1010 as needed so that computer programs read from them can be installed into storage section 1008 as needed.

[0069] In particular, according to embodiments of the present invention, the processes described below with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a storage medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 1009, and / or installed from removable medium 1011. When the computer program is executed by central processing unit (CPU) 1001, it performs various functions defined in the system of this application.

[0070] It should be noted that the storage medium shown in the embodiments of the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein computer-readable program code is carried. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any storage medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the storage medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0071] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0072] The units described in the embodiments of the present invention can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0073] It should be noted that, as another aspect, this application also provides a storage medium, which may be included in an electronic device or may exist independently without being assembled into the electronic device. The aforementioned storage medium carries one or more programs, which, when executed by an electronic device, cause the electronic device to perform the methods described in the following embodiments. For example, the electronic device may perform... Figure 1 The steps of the method shown.

[0074] In one embodiment, this application provides a computer program product including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0075] Furthermore, the above figures are merely illustrative of the processes included in the method according to exemplary embodiments of the present invention, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal order of these processes. Additionally, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0076] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the claims.

[0077] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for dynamically adjusting the data rate of a gun locating radar based on clutter statistics, characterized in that, The method includes: Configure the target radar's corresponding parameter adaptive adjustment basic data and parameters to be adjusted; and control the radar to work based on the current configuration parameters; wherein, the parameter adaptive adjustment basic data includes the projectile penetration time for different initial velocities and different firing angles, the probability of missed detection of the target across the entire velocity range under different Doppler channel removal, and the intervention threshold of the scanning cycle; Acquire echo signals within the airspace of radar targets, perform clutter detection on the echo signals, and generate corresponding spot detection results; Multi-dimensional information statistics are performed on the spot detection results to obtain the corresponding multi-dimensional feature extraction data; among which, the multi-dimensional feature extraction data includes: the number of targets based on azimuth dimension features and distance dimension features, and the number of targets in each Doppler channel based on different pulse repetition intervals (PRI); When it is confirmed that the current scanning cycle meets the preset intervention conditions, the current adjustment parameters are determined by combining multi-dimensional feature extraction data and current configuration parameters, and the current adjustment parameters are dynamically adjusted based on the preset adjustment strategy so that the target radar can perform the parameters after dynamic adjustment.

2. The method according to claim 1, characterized in that, The configuration parameters adaptively adjust the basic data and control the radar to operate according to the current configuration parameters, including: Obtain the basic data for adaptive adjustment of parameters configured by the user on the client terminal and send it to the central machine; The central unit controls the radar operation based on the current configuration parameters.

3. The method according to claim 1 or 2, characterized in that, The radar's current configuration parameters include at least one of the following: Noise threshold parameters, CFAR threshold parameters, clutter map threshold parameters, Doppler channel removal settings, and dividing the entire detection distance into several segments according to preset rules.

4. The method according to claim 1, characterized in that, Acquire echo signals within the radar target's airspace, perform clutter detection based on the echo signals, and generate corresponding spot detection results, including: The echo signal is sequentially subjected to AD sampling, down-conversion, beamforming, pulse compression processing, and coherent accumulation to obtain the clutter detection results. The clutter detection results include the distribution of clutter points in different distance segments, different wave positions, and different Doppler channels.

5. The method according to claim 1, characterized in that, Confirm that the current scanning cycle meets the preset intervention conditions, including: When the current scanning cycle exceeds the preset intervention threshold, a parameter adjustment request is sent to the central computer. The central computer uses a sliding window with a 10-coherent processing interval (CPI) to count the current radar scanning cycle and compares it with the intervention threshold.

6. The method according to claim 1, characterized in that, The current adjustment parameters are determined by combining multi-dimensional feature extraction data and current configuration parameters, including: By combining multi-dimensional feature extraction data, current configuration parameters, and preset parameter priorities, the current adjustment parameters and their corresponding priorities are determined.

7. The method according to claim 1 or 6, characterized in that, The current adjustment parameters are dynamically adjusted based on a preset adjustment strategy, including: Obtain the current Doppler rejection value and adjust it to subtract the value of the first target; and compare the scanning cycle with the preset intervention threshold; When it is confirmed that the scanning cycle is greater than the intervention threshold, based on the first numerical adjustment strategy, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient corresponding to the first 3 distance segments are adjusted from low to high according to the threshold effectiveness ratio; and the scanning cycle is compared with the preset intervention threshold. When it is confirmed that the scanning period is greater than the intervention threshold, the noise threshold coefficient, CFAR threshold coefficient and clutter map threshold coefficient of the first three distance segments are adjusted based on the second numerical adjustment strategy.

8. The method according to claim 7, characterized in that, The method further includes: After executing the second numerical adjustment strategy, if the scanning period is greater than the intervention threshold but less than the risk threshold, parameter adjustment is stopped; and the current operating parameters of the target radar are marked as intervention parameters.

9. The method according to claim 8, characterized in that, The method further includes: When it is confirmed that the scanning period is greater than the intervention threshold, the Doppler channel is configured to remove the second target value; and the scanning period is compared with the preset risk threshold. When it is confirmed that the scanning cycle is greater than the preset risk threshold, for areas where the number of targets is greater than the preset threshold, the noise threshold is reconfigured according to the target distance and the preset signal-to-noise ratio parameter. A second threshold judgment is performed based on the reconfigured noise threshold; targets below the second threshold are not transferred to the confirmation process; and the scanning cycle is compared with a preset risk threshold. When the scan cycle is determined to be greater than the preset risk threshold, check whether there is a Doppler channel with a target number that is continuously greater than the average number of targets in the second target channel, except for the second target value in the statistical period. If so, configure the target reported in the Doppler channel at the pulse repetition interval (PRI) not to be transferred to the confirmation process.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for dynamic adjustment of data rate of artillery position detection radar based on clutter statistics as described in any one of claims 1 to 9.

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