Satellite-borne radar moving target detection and imaging integrated processing method, device and equipment
The star-mounted radar system addresses high hardware costs and low data utilization by dividing wideband signals into narrowband sequences for adaptive clutter suppression and non-coherent detection, achieving high-resolution imaging in cluttered environments.
Patent Information
- Application Number
- CN202510789050.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-13
- Publication Date
- 2025-07-15
- Estimated Expiration
- 2045-06-13
AI Technical Summary
The existing integrated satellite-based radar detection and imaging systems have poor anti-cluster capabilities, high hardware costs and low data utilization.
The multi-channel broadband multi-pulse echo signals of the satellite-borne radar are divided into multiple groups of narrowband short-time echo signals, and adaptive clutter suppression processing is performed to generate clutter suppression residual maps, and high-resolution images are generated through non-phase detection.
It effectively improves the contrast between dynamic targets and backgrounds, improves the detection performance of dynamic targets with low signal-to-noise ratio, and achieves high-resolution imaging of weak targets under strong clutter backgrounds, reduces hardware costs and improves data utilization.
Smart Images

Figure CN120314907A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of microwave radar, and in particular to a method, device and electronic device for integrated processing of moving target detection and imaging of spaceborne radar. Background Art
[0002] In recent years, the low-altitude economy dominated by small aircraft and unmanned aerial vehicles has developed rapidly, attracting wide attention in society. Spaceborne radar has the ability of all-weather and all-day wide-area earth observation, and has the ability to detect, locate and image and identify surface moving targets, and can be applied to the fields of urban low-altitude traffic monitoring and military reconnaissance and early warning. At present, the spaceborne radar air target detection and imaging technology is mainly based on a detection and imaging discrete system or a time-division multiplexing integrated system. The former has the disadvantages of high hardware cost, large equipment volume and high cost-effectiveness ratio, while the latter has the disadvantages of low data rate and poor timeliness.
[0003] Therefore, those skilled in the art have carried out research and exploration on the integrated radar technology of detection and imaging. For example, in an already disclosed integrated radar device for autonomous detection and imaging, different hardware receiving and processing modules can be used to respectively implement the functions of moving target detection and inverse synthetic aperture imaging. However, when facing strong surface clutter interference, it is difficult for this device to distinguish moving targets from clutter and is not applicable to the integrated application of spaceborne radar air target detection and imaging; in addition, this device uses different echo data to implement the functions of imaging and detection, with low data utilization rate and information waste. Summary of the Invention
[0004] In view of this, the present invention provides a method, device and electronic device for integrated processing of moving target detection and imaging of spaceborne radar, which can solve the problems of poor clutter resistance, high hardware cost and low data utilization rate of the existing radar detection and imaging integrated system.
[0005] According to the first aspect of the present invention, there is provided a method for integrated processing of moving target detection and imaging of spaceborne radar, including: acquiring multi-channel wideband multi-pulse echo signals of the spaceborne radar, and dividing the multi-channel wideband multi-pulse echo signals into multiple groups of narrowband short-time echo signals; performing adaptive clutter suppression processing on each group of narrowband short-time echo signals to obtain a clutter suppression residual map corresponding to each group of narrowband short-time echo signals; performing non-coherent detection on each group of clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and generating a high-resolution image of each potential moving target according to the clutter suppression residual map.
[0006] According to an embodiment of the present invention, dividing the multi-channel broadband multi-pulse echo signal into multiple groups of narrow-band short-time echo signals includes: dividing each pulse of the multi-channel broadband multi-pulse echo signal into multiple narrow-band signals by using a frequency-domain sub-band division method to obtain multiple groups of narrow-band echo signals, and each group of narrow-band echo signals contains multiple channels; uniformly and continuously dividing the multiple groups of narrow-band echo signals according to the pulse timing so that the echo data of each channel in each group of narrow-band echo signals is divided into multiple short coherent accumulation time series to obtain multiple groups of narrow-band short-time echo signals.
[0007] According to an embodiment of the present invention, performing adaptive clutter suppression processing on each group of narrow-band short-time echo signals to obtain a clutter suppression residual map corresponding to each group of narrow-band short-time echo signals includes: generating multiple groups of compensated range-Doppler maps according to the multiple groups of narrow-band short-time echo signals; performing spatial domain adaptive processing on each group of compensated range-Doppler maps to obtain multiple groups of clutter suppression residual maps.
[0008] According to an embodiment of the present invention, generating multiple groups of compensated range-Doppler maps according to the multiple groups of narrow-band short-time echo signals includes: performing pulse compression and Doppler sharpening processing on each group of narrow-band short-time echo signals to obtain multiple groups of range-Doppler maps; performing channel registration and terrain interference phase compensation on each group of range-Doppler maps to obtain multiple groups of compensated range-Doppler maps.
[0009] According to an embodiment of the present invention, performing spatial domain adaptive processing on each group of compensated range-Doppler maps to obtain multiple groups of clutter suppression residual maps includes: constructing a data vector of each pixel point in each group of compensated range-Doppler maps; after performing conjugate transpose on each data vector, multiplying it by the clutter suppression weight vector corresponding to each data vector to obtain the data of each pixel point in multiple groups of clutter suppression residual maps.
[0010] According to an embodiment of the present invention, performing non-coherent detection on each group of clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar and generating a high-resolution image of each potential moving target according to the clutter suppression residual map includes: performing non-coherent detection on each group of clutter suppression residual maps based on the M / N criterion to determine each potential moving target and the corresponding range gate information and radial velocity information of the potential moving target; according to the range gate information corresponding to the potential moving target, extracting the clutter-suppressed broadband long-time series corresponding to the potential moving target, and the clutter-suppressed broadband long-time series is generated according to the clutter suppression residual map; according to the radial velocity information corresponding to the potential moving target, converting the clutter-suppressed broadband long-time series corresponding to the potential moving target into a high-resolution image.
[0011] According to an embodiment of the present invention, extracting a clutter-suppressed wideband long-time series corresponding to a potential moving target includes: transforming each group of clutter suppression residual maps along the Doppler dimension into the time domain to obtain multiple groups of range time domain maps after clutter suppression; based on the multiple groups of range time domain maps after clutter suppression, splicing the echo data corresponding to multiple short coherent accumulation time series divided from multiple groups of narrowband echo signals to obtain multiple groups of range long-time series after clutter suppression; transforming the multiple groups of range long-time series after clutter suppression along the range dimension into the fast time domain and splicing them according to the fast time sequence to obtain the clutter-suppressed wideband long-time series corresponding to each range gate.
[0012] According to an embodiment of the present invention, acquiring multiple-channel wideband multi-pulse echo signals of a spaceborne radar includes: when the spaceborne radar operates in a full-aperture transmission mode, receiving multiple-channel wideband multi-pulse echo signals through multiple antenna channels of the spaceborne radar.
[0013] A second aspect of the present invention provides a spaceborne radar moving target detection and imaging integrated processing device, including: a signal division module, configured to acquire multiple-channel wideband multi-pulse echo signals of a spaceborne radar and divide the multiple-channel wideband multi-pulse echo signals into multiple groups of narrowband short-time echo signals; a clutter suppression module, configured to perform adaptive clutter suppression processing on each group of narrowband short-time echo signals to obtain a clutter suppression residual map corresponding to each group of narrowband short-time echo signals; a detection and imaging module, configured to perform non-coherent detection on each group of clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar and generate a high-resolution image of each potential moving target according to the clutter suppression residual map.
[0014] A third aspect of the present invention provides an electronic device, including: one or more processors; a storage device, configured to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are caused to execute the method in any of the above embodiments.
[0015] The spaceborne radar moving target detection and imaging integrated processing method, device and electronic device according to the embodiments of the present invention can suppress background clutter by dividing wideband long-time echo signals into multiple groups of narrowband short-time series for adaptive clutter suppression processing, effectively improve the contrast between moving targets and the background, generate multiple groups of moving target clutter suppression residual maps, better obtain the position and speed information of moving targets with low signal-to-noise ratio, and perform integrated processing of detection and imaging of potential moving targets according to the clutter suppression residual maps, realizing high-resolution imaging of weak targets under strong clutter backgrounds. The processing process of the present invention can share hardware devices and data information, reduce hardware costs and improve data utilization rates. Description of the Drawings
[0016] Through the following description of the embodiments of the present invention with reference to the accompanying drawings, the above content as well as other objects, features, and advantages of the present invention will become clearer. In the drawings:
[0017] Figure 1 Schematically shows a flowchart of an integrated processing method for spaceborne radar moving target detection and imaging according to an embodiment of the present invention;
[0018] Figure 2 Schematically shows a range long-time amplitude diagram of the original echo data collected according to an embodiment of the present invention;
[0019] Figure 3 Schematically shows a moving target range long-time amplitude diagram after clutter suppression processing according to an embodiment of the present invention;
[0020] Figure 4 Schematically shows a high-resolution radar amplitude diagram of potential moving targets output according to an embodiment of the present invention;
[0021] Figure 5 Schematically shows a structural block diagram of an integrated processing device for spaceborne radar moving target detection and imaging according to an embodiment of the present invention;
[0022] Figure 6 Schematically shows a block diagram of an electronic device suitable for implementing the integrated processing method for spaceborne radar moving target detection and imaging according to an embodiment of the present invention. Detailed Embodiments
[0023] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In the following detailed description, for the sake of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present invention. However, it is obvious that one or more embodiments can also be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present invention.
[0024] The terms used herein are merely for describing specific embodiments and are not intended to limit the present invention. The terms "including", "comprising", etc. used herein indicate the presence of features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.
[0025] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.
[0026] In the case of using expressions such as "at least one of A, B, and C", generally, it should be interpreted according to the meaning that those skilled in the art usually understand this expression (for example, "a system having at least one of A, B, and C" should include, but not be limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).
[0027] Aiming at the problems of poor clutter rejection ability, high hardware cost, and low data utilization rate of the existing radar detection and imaging integrated system, the present invention provides a spaceborne radar moving target detection and imaging integrated processing method, including: acquiring multi-channel broadband multi-pulse echo signals of the spaceborne radar, and dividing the multi-channel broadband multi-pulse echo signals into multiple groups of narrowband short-time echo signals; performing adaptive clutter suppression processing on each group of narrowband short-time echo signals to obtain a clutter suppression residual map corresponding to each group of narrowband short-time echo signals; performing non-coherent detection on each group of clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and generating a high-resolution image of each potential moving target according to the clutter suppression residual map. By dividing the wideband long-time echo signals into multiple groups of narrowband short-time sequences for adaptive clutter suppression processing, the present invention can suppress background clutter, effectively improve the contrast between the moving target and the background, generate multiple groups of moving target clutter suppression residual maps, better obtain the position and velocity information of the moving target with low signal-to-noise ratio, and perform integrated processing of detection and imaging of potential moving targets according to the clutter suppression residual map, realizing high-resolution imaging of weak targets under strong clutter background. The processing process of the present invention can share hardware devices and data information, reduce hardware costs, and improve data utilization rate. The following further describes Figures 1 to 4 this method.
[0028] Figure 1 Schematically shows a flowchart of a spaceborne radar moving target detection and imaging integrated processing method according to an embodiment of the present invention.
[0029] As Figure 1 shown, the spaceborne radar moving target detection and imaging integrated processing method of this embodiment includes operations S110 to S130.
[0030] In operation S110, acquire multi-channel broadband multi-pulse echo signals of the spaceborne radar, and divide the multi-channel broadband multi-pulse echo signals into multiple groups of narrowband short-time echo signals.
[0031] In some embodiments, when the spaceborne radar operates in the full-aperture transmission mode, multiplex broadband multi-pulse echo signals are received through N antenna channels of the spaceborne radar. N is a positive integer greater than or equal to 2, and the present invention does not limit the specific value of N. Each of the N-channel broadband echo signals may include K pulses, where K is a positive integer. The combination of the full-aperture transmission mode and multi-channel reception equivalently forms a larger synthetic aperture, which can significantly improve the azimuth resolution.
[0032] In some embodiments, the N-channel broadband multi-pulse echo signals can be divided into M groups of narrowband short-time echo signals. M is a positive integer greater than or equal to 2, and the present invention does not limit the specific value of M. The signal division process may include: First, each pulse of the N-channel broadband multi-pulse echo signals is divided into M narrowband signals by using the frequency-domain sub-band division method to obtain M groups of narrowband echo signals, and each group of narrowband echo signals includes N channels; then, the M groups of narrowband echo signals are uniformly and continuously divided according to the pulse timing, so that the echo data of each channel in each group of narrowband echo signals is divided into P short coherent integration time series to obtain M×P groups of narrowband short-time echo signals. P is a positive integer greater than or equal to 2, and the present invention does not limit the specific value of P. Each group of narrowband short-time echo signals includes N channels. This signal division method divides the broadband signal into M narrow sub-bands through frequency-domain sub-band division and divides each sub-band signal into P short-time series through time-domain short coherent integration, and finally generates M×P groups of narrowband short-time echo signals, that is, the complexity problem of traditional broadband long-pulse processing can be transformed into the parallel lightweight processing of "multi-narrowband×short time window". While maintaining the performance, it can significantly reduce the signal processing complexity and improve the anti-interference and clutter suppression capabilities.
[0033] In operation S120, adaptive clutter suppression processing is performed on each group of narrowband short-time echo signals to obtain a clutter suppression residual map corresponding to each group of narrowband short-time echo signals.
[0034] In some embodiments, M×P groups of compensated range-Doppler maps can be generated first based on the M×P groups of narrowband short-time echo signals; then, space-time adaptive processing (STAP) is performed on each group of compensated range-Doppler maps to obtain M×P groups of clutter suppression residual maps. Since the sub-band range-Doppler map can compensate for platform motion errors such as range migration, the inherent resolution of the broadband signal will not be lost during STAP processing. The clutter suppression residual map can restore the full-bandwidth resolution through frequency-domain stitching while retaining the clutter suppression effect.
[0035] As an example, by performing pulse compression, Doppler sharpening, channel registration, and terrain interference phase compensation on each of the M×P groups of narrowband short-time echo signals, M×P groups of compensated range-Doppler atlases can be finally generated. Specifically, pulse compression and Doppler sharpening can be first performed on each group of narrowband short-time echo signals to obtain M×P groups of range-Doppler atlases, with each group of range-Doppler atlases containing N range-Doppler maps corresponding to the echo data of each channel; then channel registration and terrain interference phase compensation are performed on each group of range-Doppler atlases to obtain M×P groups of compensated range-Doppler atlases. Through operations such as pulse compression, Doppler sharpening, channel registration, and terrain interference phase compensation, the refinement degree of signal processing can be improved, and multi-channel system errors can be eliminated. The compensated range-Doppler map can be denoted as S m,p,n , m = 1, 2, …, M, p = 1, 2, …, P, n = 1, 2, …, N.
[0036] In some embodiments, performing spatial domain adaptive processing on each group of compensated range-Doppler atlases to obtain M×P groups of clutter suppression residual maps may include:
[0037] First, construct the data vector of each pixel point in each group of compensated range-Doppler atlases. It can be expressed as follows:
[0038]
[0039] In the formula, z m,p (k) represents the data vector of the k-th pixel point in the m×p-th group, and S m,p,n (k) represents the range-Doppler map of the k-th pixel point in the n-th channel of the m×p-th group, and T represents the transpose.
[0040] Then, after performing conjugate transpose on each data vector z m,p (k) and multiplying it by the clutter suppression weight vector corresponding to each data vector, the data of each pixel point in the M×P groups of clutter suppression residual maps is obtained. It can be expressed as follows:
[0041]
[0042] In the formula, y m×p (k) represents the data of the k-th pixel point in the clutter suppression residual map of the m×p-th group, and u m×p (k) represents the clutter suppression weight vector corresponding to the k-th pixel point in the m×p-th group, and H represents the conjugate transpose.
[0043] In operation S130, perform non-coherent detection on each group of clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and generate a high-resolution image of each potential moving target according to the clutter suppression residual map.
[0044] In some embodiments, first, non-coherent detection can be performed on each set of clutter suppression residual maps based on the M / N criterion to determine the range gate information and radial velocity information corresponding to each potential moving target. The M / N criterion, such as "5 / 8 detection", means that a target is judged only when at least 5 sub-bands pass, which can eliminate single-sub-band false alarms, significantly improve the detection probability of targets with low signal-to-noise ratio (SNR), and at the same time suppress false alarms caused by random noise or isolated interference. Through the intersection of the multi-sub-band detection results, the range gate of the target can be accurately located, eliminating single-sub-band range ambiguity or ranging errors.
[0045] Next, according to the range gate information corresponding to the potential moving target, the wideband long-time series after clutter suppression corresponding to the potential moving target is extracted. The wideband long-time series after clutter suppression can be generated based on the clutter suppression residual map. As an example, first, M×P groups of clutter suppression residual maps can be transformed into the time domain along the Doppler dimension to obtain M×P groups of range time domain maps after clutter suppression; then, based on the M×P groups of range time domain maps after clutter suppression, the echo data corresponding to the P short coherent accumulation time series divided from the M groups of narrowband echo signals are spliced to obtain M groups of range long-time series after clutter suppression; then, the M groups of range long-time series after clutter suppression are transformed into the fast time domain along the range dimension and spliced according to the fast time sequence to obtain the wideband long-time series after clutter suppression corresponding to each range gate.
[0046] Then, according to the radial velocity information corresponding to the potential moving target, the wideband long-time series after clutter suppression corresponding to the potential moving target is transformed into a high-resolution image. According to the radial velocity of the target, motion compensation can be performed on the long-time echo sequence to correct the range migration and Doppler spread caused by target motion, so that the target energy is focused in the image domain, significantly improving the resolution. Through velocity information guidance and wideband long-time coherent processing, the detection and imaging functions of traditional radars can be deeply integrated, realizing high-resolution visualization of moving targets, and at the same time realizing data sharing and improving data utilization efficiency.
[0047] Finally, a high-resolution radar image of the potential moving target can be output as needed, but the present invention is not limited thereto.
[0048] The effectiveness of the above integrated detection and imaging method is verified below with simulation data. The scene parameters in the simulation experiment are shown in Table 1. As an example, the simulation experiment can be carried out in a mathematical calculation software. It should be noted that the parameter values in Table 1 are only illustrative examples and are not used to limit the scope of implementation of the present invention.
[0049] Table 1 Simulation experiment scene parameter table
[0050]
[0051] In this simulation experiment, when the radar is set to work, the antenna emits with the full aperture and receives with sub-apertures. After the echo signals are received by 4 channels, according to the integrated detection and imaging method provided by the embodiments of the present invention, operations such as subsequence division of echo signals, adaptive clutter suppression processing, potential target detection under the M / N criterion, splicing of potential moving target signal sequences, high-resolution imaging, and output of potential moving target images are carried out in sequence, and the Figures 2 to 4 processing results can be obtained.
[0052] Figure 2 Schematically shows the range-long-time amplitude diagram of the original echo data collected according to the embodiments of the present invention, Figure 3 Schematically shows the range-long-time amplitude diagram of moving targets after clutter suppression processing according to the embodiments of the present invention, Figure 4 Schematically shows the high-resolution radar amplitude diagram of potential moving targets output according to the embodiments of the present invention.
[0053] From Figure 2 it can be seen that before clutter suppression, the moving target echo is submerged by clutter and it is difficult to see obvious target echoes; after clutter suppression processing, from Figure 3 obvious moving target echo signals can be seen, that is, the Figure 3 white curve in Figure 4 ; by detecting potential moving targets, obtaining their range gates and radial velocity information, and through synthetic aperture radar imaging, the high-resolution radar image of the moving target is as shown in
[0054] , indicating that the method provided by the present invention has strong anti-clutter ability and can realize the detection and imaging of moving targets under strong clutter background. Based on the above-mentioned multiple embodiments, it can be seen that the present invention has at least the following advantages compared with the prior art: First, since the present invention divides the wideband long-time echo signal into multiple groups of narrowband short-time sequences for spatial domain adaptive processing, background clutter can be suppressed, the contrast between moving targets and the background can be effectively improved, and multiple groups of moving target clutter suppression residual maps can be generated. By adopting the M / N non-coherent detection method, the detection performance of moving targets with low signal-to-noise ratio is significantly improved by the present invention; Second, the present invention develops an integrated method for detecting and imaging moving targets under strong clutter background. By performing clutter suppression processing and moving target detection on the echo, the position and velocity information of moving targets with low signal-to-noise ratio can be better obtained, and then high-resolution imaging of moving targets is carried out based on the echo data after clutter suppression processing, so that the method of the present invention has good anti-clutter ability and realizes high-resolution imaging of weak targets under strong clutter background.
[0055] Based on the above-mentioned integrated processing method for detecting and imaging moving targets by spaceborne radar, the present invention also provides an integrated processing device for detecting and imaging moving targets by spaceborne radar. The following will be combined with Figure 5 to describe this device in detail.
[0056] Figure 5 Schematically shows a structural block diagram of an on - satellite radar moving target detection and imaging integrated processing device according to an embodiment of the present invention.
[0057] As Figure 5 shown, the on - satellite radar moving target detection and imaging integrated processing device 500 of this embodiment includes a signal division module 510, a clutter suppression module 520, and a detection and imaging module 530.
[0058] The signal division module 510 is used to obtain multi - channel wide - band multi - pulse echo signals of the on - satellite radar and divide the multi - channel wide - band multi - pulse echo signals into multiple groups of narrow - band short - time echo signals. In one embodiment, the signal division module 510 can be used to perform the operation S110 described above, which will not be elaborated here.
[0059] The clutter suppression module 520 is used to perform adaptive clutter suppression processing on each group of narrow - band short - time echo signals to obtain a clutter suppression residual map corresponding to each group of narrow - band short - time echo signals. In one embodiment, the clutter suppression module 520 can be used to perform the operation S120 described above, which will not be elaborated here.
[0060] The detection and imaging module 530 is used to perform non - coherent detection on each group of clutter suppression residual maps, determine at least one potential moving target detected by the on - satellite radar, and generate a high - resolution image of each potential moving target according to the clutter suppression residual map. In one embodiment, the detection and imaging module 530 can be used to perform the operation S130 described above, which will not be elaborated here.
[0061] According to an embodiment of the present invention, the signal division module 510 is further used to receive multi - channel wide - band multi - pulse echo signals through multiple antenna channels of the on - satellite radar when the on - satellite radar operates in the full - aperture transmission mode.
[0062] According to an embodiment of the present invention, the signal division module 510 is further used to divide each pulse of the multi - channel wide - band multi - pulse echo signals into multiple narrow - band signals by using a frequency - domain sub - band division method to obtain multiple groups of narrow - band echo signals, each group of narrow - band echo signals containing multiple channels; uniformly and continuously divide the multiple groups of narrow - band echo signals according to the pulse timing so that the echo data of each channel in each group of narrow - band echo signals is divided into multiple short coherent accumulation time series to obtain multiple groups of narrow - band short - time echo signals.
[0063] According to an embodiment of the present invention, the clutter suppression module 520 is further used to generate multiple groups of compensated range - Doppler maps according to multiple groups of narrow - band short - time echo signals; perform spatial - domain adaptive processing on each group of compensated range - Doppler maps to obtain multiple groups of clutter suppression residual maps.
[0064] According to an embodiment of the present invention, the clutter suppression module 520 is further configured to perform pulse compression and Doppler sharpening on each group of narrowband short-time echo signals to obtain multiple groups of range-Doppler atlases; perform channel registration and terrain interference phase compensation on each group of range-Doppler atlases to obtain multiple groups of compensated range-Doppler atlases.
[0065] According to an embodiment of the present invention, the clutter suppression module 520 is further configured to construct a data vector for each pixel point in each group of compensated range-Doppler atlases; after performing conjugate transpose on each data vector, multiply it by the clutter suppression weight vector corresponding to each data vector to obtain the data of each pixel point in multiple groups of clutter suppression residual maps.
[0066] According to an embodiment of the present invention, the detection and imaging module 530 is further configured to perform non-coherent detection on each group of clutter suppression residual maps based on the M / N criterion to determine each potential moving target and the range gate information and radial velocity information corresponding to the potential moving target; according to the range gate information corresponding to the potential moving target, extract the clutter-suppressed wideband long-time sequence corresponding to the potential moving target, and the clutter-suppressed wideband long-time sequence is generated according to the clutter suppression residual map; according to the radial velocity information corresponding to the potential moving target, transform the clutter-suppressed wideband long-time sequence corresponding to the potential moving target into a high-resolution image.
[0067] According to an embodiment of the present invention, the detection and imaging module 530 is further configured to transform each group of clutter suppression residual maps from the Doppler dimension to the time domain to obtain multiple groups of clutter-suppressed range time-domain maps; based on the multiple groups of clutter-suppressed range time-domain maps, splice the echo data corresponding to multiple short coherent accumulation time sequences divided by the multiple groups of narrowband echo signals to obtain multiple groups of clutter-suppressed range long-time sequences; transform the multiple groups of clutter-suppressed range long-time sequences from the range dimension to the fast time domain and splice them according to the fast time sequence to obtain the clutter-suppressed wideband long-time sequence corresponding to each range gate. For details of related content, please refer to the foregoing, and will not be elaborated here.
[0068] According to an embodiment of the present invention, any multiple modules among the signal division module 510, the clutter suppression module 520, and the detection and imaging module 530 may be combined and implemented in one module, or any one of them may be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules may be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the signal division module 510, the clutter suppression module 520, and the detection and imaging module 530 may be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on substrate, a system on package, an application specific integrated circuit (ASIC), or any other reasonable way of integrating or packaging circuits, etc., implemented by hardware or firmware, or implemented in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. Alternatively, at least one of the signal division module 510, the clutter suppression module 520, and the detection and imaging module 530 may be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is run.
[0069] Figure 6 Schematically shows a block diagram of an electronic device suitable for implementing an integrated processing method for spaceborne radar moving target detection and imaging according to an embodiment of the present invention.
[0070] As Figure 6 shown, the electronic device 600 according to an embodiment of the present invention includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read only memory (ROM) 602 or a program loaded from a storage section 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general microprocessor (such as a CPU), an instruction set processor and / or a related chipset, and / or a dedicated microprocessor (such as an application specific integrated circuit (ASIC)), etc. The processor 601 may also include on-board memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.
[0071] In the RAM 603, various programs and data required for the operation of the electronic device 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flow according to the embodiments of the present invention by executing the programs in the ROM 602 and / or the RAM 603. It should be noted that the programs can also be stored in one or more memories other than the ROM 602 and the RAM 603. The processor 601 can also perform various operations of the method flow according to the embodiments of the present invention by executing the programs stored in one or more memories.
[0072] According to an embodiment of the present invention, the electronic device 600 may further include an input / output (I / O) interface 605, and the input / output (I / O) interface 605 is also connected to the bus 604. The electronic device 600 may further include one or more of the following components connected to the input / output (I / O) interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage portion 608 including a hard disk, etc.; and a communication portion 609 including a network interface card such as a LAN card, a modem, etc. The communication portion 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the input / output (I / O) interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed so that a computer program read from it can be installed into the storage portion 608 as needed.
[0073] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist separately without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the embodiments of the present invention is implemented.
[0074] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or apparatus. For example, according to an embodiment of the present invention, the computer-readable storage medium may include one or more memories other than the above-described ROM 602 and / or RAM 603 and / or ROM 602 and RAM 603.
[0075] An embodiment of the present invention further includes a computer program product, which includes a computer program that contains program code for executing the method shown in the flowchart. When the computer program product runs in a computer system, the program code is used to enable the computer system to implement the integrated processing method for spaceborne radar moving target detection and imaging provided by the embodiment of the present invention.
[0076] When the computer program is executed by the processor 601, it executes the above functions defined in the system / apparatus of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.
[0077] In one embodiment, the computer program can rely on tangible storage media such as optical storage devices and magnetic storage devices. In another embodiment, the computer program can also be transmitted and distributed in the form of a signal on a network medium, and be downloaded and installed through the communication part 609, and / or be installed from the removable medium 611. The program code contained in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.
[0078] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or be installed from the removable medium 611. When the computer program is executed by the processor 601, it executes the above functions defined in the system of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, devices, apparatuses, modules, units, etc. can be implemented by computer program modules.
[0079] According to an embodiment of the present invention, program code for executing the computer programs provided by the embodiments of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. The programming languages include, but are not limited to, such as Java, C++, Python, the "C" language, or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., by connecting through the Internet using an Internet service provider).
[0080] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.
[0081] Those skilled in the art can understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features described in the various embodiments of the present invention can be combined and / or combined in various ways. All such combinations and / or combinations fall within the scope of the present invention.
[0082] The above describes the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although the embodiments are described separately above, this does not mean that the measures in each embodiment cannot be used advantageously in combination. Without departing from the scope of the present invention, those skilled in the art can make various substitutions and modifications, and all such substitutions and modifications should fall within the scope of the present invention.
Claims
1. An integrated processing method for spaceborne radar moving target detection and imaging, characterized in that Including: Obtain multiplex broadband multi-pulse echo signals of a spaceborne radar, and divide the multiplex broadband multi-pulse echo signals into multiple groups of narrowband short-time echo signals; Perform adaptive clutter suppression processing on each group of the narrowband short-time echo signals to obtain a clutter suppression residual map corresponding to each group of the narrowband short-time echo signals; Perform non-coherent detection on each group of the clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and generate a high-resolution image of each potential moving target according to the clutter suppression residual map.
2. The integrated processing method according to claim 1, characterized in that, The dividing the multiplex broadband multi-pulse echo signals into multiple groups of narrowband short-time echo signals includes: Using a frequency-domain sub-band division method to divide each pulse of the multiplex broadband multi-pulse echo signals into multiple narrowband signals to obtain multiple groups of narrowband echo signals, and each group of the narrowband echo signals includes multiple channels; Perform uniform continuous division on the multiple groups of narrowband echo signals according to the pulse timing sequence, so that the echo data of each channel in each group of the narrowband echo signals is divided into multiple short coherent accumulation time series to obtain multiple groups of the narrowband short-time echo signals.
3. The integrated processing method according to claim 1, wherein The performing adaptive clutter suppression processing on each group of the narrowband short-time echo signals to obtain a clutter suppression residual map corresponding to each group of the narrowband short-time echo signals includes: Generate multiple groups of compensated range-Doppler maps according to the multiple groups of narrowband short-time echo signals; Perform spatial domain adaptive processing on each group of the compensated range-Doppler maps to obtain the multiple groups of clutter suppression residual maps.
4. The integrated processing method according to claim 3, wherein The generating multiple groups of compensated range-Doppler maps according to the multiple groups of narrowband short-time echo signals includes: Perform pulse compression and Doppler sharpening processing on each group of the narrowband short-time echo signals to obtain multiple groups of range-Doppler maps; Perform channel registration and terrain interference phase compensation on each group of the range-Doppler maps to obtain multiple groups of compensated range-Doppler maps.
5. The integrated processing method according to claim 3 or 4, characterized in that The performing spatial domain adaptive processing on each group of the compensated range-Doppler maps to obtain the multiple groups of clutter suppression residual maps includes: Construct a data vector of each pixel point in each group of the compensated range-Doppler maps; After performing conjugate transpose on each data vector, multiply it by the clutter suppression weight vector corresponding to each data vector to obtain the data of each pixel point in the multiple groups of clutter suppression residual maps.
6. The integrated processing method according to claim 1, characterized in that, The performing non-coherent detection on each group of the clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and generate a high-resolution image of each potential moving target according to the clutter suppression residual map includes: Perform non-coherent detection on each group of the clutter suppression residual maps based on the M / N criterion to determine each potential moving target and the range gate information and radial velocity information corresponding to the potential moving target; According to the range gate information corresponding to the potential moving target, extract the clutter-suppressed broadband long-time sequence corresponding to the potential moving target, and the clutter-suppressed broadband long-time sequence is generated according to the clutter suppression residual map; According to the radial velocity information corresponding to the potential moving target, the clutter-suppressed wideband long-time series corresponding to the potential moving target is converted into the high-resolution image.
7. The integrated processing method according to claim 6, wherein The extracting of the clutter-suppressed wideband long-time series corresponding to the potential moving target includes: Transforming each group of the clutter suppression residual maps along the Doppler dimension into the time domain to obtain multiple groups of range time-domain maps after clutter suppression; Based on the multiple groups of range time-domain maps after clutter suppression, splicing the echo data corresponding to multiple short coherent accumulation time series divided from the multiple groups of narrowband echo signals to obtain multiple groups of range long-time series after clutter suppression; Transforming the multiple groups of range long-time series after clutter suppression along the range dimension into the fast time domain and splicing them according to the fast time sequence to obtain the clutter-suppressed wideband long-time series corresponding to each range gate.
8. The integrated processing method according to claim 1, characterized in that The obtaining of the multi-channel wideband multi-pulse echo signals of the spaceborne radar includes: When the spaceborne radar operates in the full-aperture transmission mode, receiving the multi-channel wideband multi-pulse echo signals through multiple antenna channels of the spaceborne radar.
9. An on-board radar integrated processing device for moving target detection and imaging, characterized in that, Includes: A signal division module, configured to obtain the multi-channel wideband multi-pulse echo signals of the spaceborne radar and divide the multi-channel wideband multi-pulse echo signals into multiple groups of narrowband short-time echo signals; A clutter suppression module, configured to perform adaptive clutter suppression processing on each group of the narrowband short-time echo signals to obtain the clutter suppression residual maps corresponding to each group of the narrowband short-time echo signals; A detection and imaging module, configured to perform non-coherent detection on each group of the clutter suppression residual maps, determine at least one potential moving target detected by the spaceborne radar, and generate a high-resolution image of each potential moving target according to the clutter suppression residual map.
10. An electronic device, characterized in that, Includes: One or more processors; A storage device, configured to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are caused to execute the method according to any one of claims 1 to 8.
Citation Information
Patent Citations
Method and system for detecting target in radar image
CN111880157A
Space-time adaptive processing method of airborne broadband radar based on frequency domain compensation
CN116908799A
On-orbit real-time processing method for space-based radar AMTI function
CN116953646A
Multi-system radar simulation system and control method thereof
CN117556605A
Complex environment distributed spaceborne radar moving target adaptive detection method
CN118068314A