Spaceborne radar moving target detection and imaging integrated processing method, device and equipment

Abstract

The present invention provides a method, device, and apparatus for integrated processing of moving target detection and imaging by a spaceborne radar, relating to the field of microwave radar technology. The method comprises: acquiring multi-channel broadband multi-pulse echo signals from the spaceborne radar, 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 based on the clutter suppression residual map.

Description

Technical Field

[0001] The present invention relates to the field of microwave radar technology, and in particular to a method, device and electronic equipment for integrated processing of moving target detection and imaging by a spaceborne radar. Background Art

[0002] In recent years, the low-altitude economy, primarily based on small aircraft and unmanned aerial vehicles, has rapidly developed, attracting widespread public attention. Spaceborne radar offers wide-area Earth observation capabilities around the clock and in all weather conditions, including the ability to detect, locate, and image moving targets on the surface. This capability is applicable to urban low-altitude traffic surveillance and military reconnaissance and early warning. Currently, spaceborne radar aerial target detection and imaging technologies primarily rely on separate detection and imaging systems or integrated time-sharing multiplexing systems. The former suffers from high hardware costs, bulky equipment, and a high cost-effectiveness ratio, while the latter suffers from low data rates and poor timeliness.

[0003] To this end, those skilled in the art have conducted research and exploration into integrated detection and imaging radar technology. For example, in a previously disclosed autonomous integrated detection and imaging radar device, different hardware receiving and processing modules can be used to implement moving target detection and inverse synthetic aperture imaging, respectively. However, when faced with strong surface clutter interference, this device struggles to distinguish between moving targets and clutter, making it unsuitable for integrated spaceborne radar aerial target detection and imaging applications. Furthermore, this device uses different echo data for imaging and detection, resulting in low data utilization and information waste. Summary of the Invention

[0004] In view of this, the present invention provides a method, device and electronic equipment for integrated processing of moving target detection and imaging by a space-borne radar, which can solve the problems of poor anti-clutter capability, high hardware cost and low data utilization of existing integrated radar detection and imaging systems.

[0005] According to a first aspect of the present invention, a method for integrated processing of moving target detection and imaging by a spaceborne radar is provided, comprising: acquiring multi-channel broadband multi-pulse echo signals from a spaceborne radar, 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 based on the clutter suppression residual map.

[0006] According to an embodiment of the present invention, dividing a multi-channel broadband multi-pulse echo signal into a plurality of groups of narrowband short-time echo signals includes: using a frequency domain sub-band division method to divide each pulse of the multi-channel broadband multi-pulse echo signal into a plurality of narrowband signals, thereby obtaining a plurality of groups of narrowband echo signals, each group of narrowband echo signals including a plurality of channels; uniformly and continuously dividing the plurality of groups of narrowband echo signals according to the pulse timing, so that the echo data of each channel in each group of narrowband echo signals is divided into a plurality of short coherent accumulation time series, thereby obtaining a plurality of groups of narrowband short-time echo signals.

[0007] According to an embodiment of the present invention, 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 includes: generating multiple groups of compensated range-Doppler atlases based on multiple groups of narrowband short-time echo signals; and performing spatial domain adaptive processing on each group of compensated range-Doppler atlases to obtain multiple groups of clutter suppression residual maps.

[0008] According to an embodiment of the present invention, multiple sets of compensated range Doppler atlases are generated based on multiple sets of narrowband short-time echo signals, including: performing pulse compression and Doppler sharpening processing on each set of narrowband short-time echo signals to obtain multiple sets of range Doppler atlases; and performing channel alignment and terrain interferometry phase compensation on each set of range Doppler atlases to obtain multiple sets of compensated range Doppler atlases.

[0009] According to an embodiment of the present invention, spatial domain adaptive processing is performed on each group of compensated range-Doppler atlases to obtain multiple groups of clutter suppression residual maps, including: constructing a data vector for each pixel point in each group of compensated range-Doppler atlases; performing a conjugate transpose on each data vector and then multiplying the data by a clutter suppression weight vector corresponding to each data vector to obtain data for each pixel point in the multiple groups of clutter suppression residual maps.

[0010] According to an embodiment of the present invention, non-coherent detection is performed on each set of clutter suppression residual maps to determine at least one potential moving target detected by a spaceborne radar, and a high-resolution image of each potential moving target is generated based on the clutter suppression residual maps. The method includes: performing non-coherent detection on each set of clutter suppression residual maps based on an M / N criterion to determine each potential moving target and range gate information and radial velocity information corresponding to the potential moving target; extracting a wide-band long time series after clutter suppression corresponding to the potential moving target based on the range gate information corresponding to the potential moving target, wherein the wide-band long time series after clutter suppression is generated based on the clutter suppression residual maps; and converting the wide-band long time series after clutter suppression corresponding to the potential moving target into a high-resolution image based on the radial velocity information corresponding to the potential moving target.

[0011] According to an embodiment of the present invention, extracting a wide-band long time series after clutter suppression corresponding to a potential moving target includes: transforming each group of clutter suppression residual maps into a time domain along a Doppler dimension to obtain multiple groups of range time domain maps after clutter suppression; splicing echo data corresponding to multiple short coherent accumulation time series divided from multiple groups of narrowband echo signals based on the multiple groups of range time domain maps after clutter suppression to obtain multiple groups of range time series after clutter suppression; and transforming the multiple groups of range time series after clutter suppression into a fast time domain along a range dimension and splicing them according to the fast time sequence to obtain a wide-band long time series after clutter suppression corresponding to each range gate.

[0012] According to an embodiment of the present invention, obtaining multi-path broadband multi-pulse echo signals of a spaceborne radar includes: receiving the multi-path broadband multi-pulse echo signals through multiple antenna channels of the spaceborne radar when the spaceborne radar operates in a full-aperture transmission mode.

[0013] A second aspect of the present invention provides an integrated processing device for detecting and imaging moving targets using a spaceborne radar, comprising: a signal division module for acquiring multi-channel broadband multi-pulse echo signals from a spaceborne radar and dividing the multi-channel broadband multi-pulse echo signals into multiple groups of narrowband short-time echo signals; a clutter suppression module for 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; and a detection and imaging module for 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 based on the clutter suppression residual map.

[0014] The third aspect of the present invention provides an electronic device comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the method in any one of the above embodiments.

[0015] According to the embodiments of the present invention, the integrated processing method, device, and electronic device for spaceborne radar moving target detection and imaging can suppress background clutter and effectively improve the contrast between the moving target and the background by dividing the broadband long-time echo signal into multiple groups of narrowband short-time series for adaptive clutter suppression processing. Multiple groups of moving target clutter suppression residual maps are generated to better obtain the position and velocity information of low-signal-to-noise ratio moving targets. Based on the clutter suppression residual maps, integrated detection and imaging of potential moving targets are performed, achieving high-resolution imaging of weak targets in strong clutter backgrounds. The processing process of the present invention can share hardware equipment and data information, reducing hardware costs and improving data utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0017] Figure 1 A flowchart of a method for integrated processing of moving target detection and imaging by a space-borne radar according to an embodiment of the present invention is schematically shown;

[0018] Figure 2 Schematically shows a long-range amplitude diagram of raw echo data collected according to an embodiment of the present invention;

[0019] Figure 3 Schematically shows a long-time amplitude diagram of the moving target range after clutter suppression processing according to an embodiment of the present invention;

[0020] Figure 4 Schematically shows a high-resolution radar amplitude map of a potential moving target output according to an embodiment of the present invention;

[0021] Figure 5 A schematic block diagram of a device for integrated processing of moving target detection and imaging by a space-borne radar according to an embodiment of the present invention is shown;

[0022] Figure 6 The block diagram of an electronic device suitable for implementing the integrated processing method of moving target detection and imaging by space-borne radar according to an embodiment of the present invention is schematically shown. DETAILED DESCRIPTION

[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 exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concept of the present invention.

[0024] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise," "include," 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] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0027] To address the problems of poor anti-clutter capability, high hardware cost, and low data utilization in existing integrated radar detection and imaging systems, the present invention provides a method for integrated processing of moving target detection and imaging by a spaceborne radar, comprising: acquiring multi-channel broadband multi-pulse echo signals from a spaceborne radar, 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 based on the clutter suppression residual map. The present invention divides the broadband long-time echo signal into multiple groups of narrow-band short-time series for adaptive clutter suppression processing, which can suppress background clutter, effectively improve the contrast between the moving target and the background, and generate multiple groups of moving target clutter suppression residual maps, which can better obtain the position and velocity information of low signal-to-noise ratio moving targets, and perform integrated detection and imaging of potential moving targets based on the clutter suppression residual maps, thereby achieving high-resolution imaging of weak targets under strong clutter backgrounds. The processing process of the present invention can share hardware equipment and data information, reducing hardware costs and improving data utilization. The following is combined with Figures 1 to 4 This method is further explained.

[0028] Figure 1 The flowchart of the integrated processing method for spaceborne radar moving target detection and imaging according to one embodiment of the present invention is schematically shown.

[0029] like Figure 1 As shown, the integrated processing method for spaceborne radar moving target detection and imaging of this embodiment includes operations S110 to S130.

[0030] In operation S110 , multi-channel broadband multi-pulse echo signals of a spaceborne radar are acquired, and the multi-channel broadband multi-pulse echo signals are divided into a plurality of groups of narrowband short-time echo signals.

[0031] In some embodiments, when the spaceborne radar operates in full-aperture transmission mode, multiple broadband multi-pulse echo signals are received via the spaceborne radar's N antenna channels. N is a positive integer greater than or equal to 2, and the present invention is not limited to a specific value of N. Each of the N broadband echo signals may contain K pulses, where K is a positive integer. The full-aperture transmission mode combined with multi-channel reception effectively forms a larger synthetic aperture, significantly improving azimuth resolution.

[0032] In some embodiments, N-channel broadband multi-pulse echo signals can be divided into M groups of narrowband short-time echo signals, where 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, using a frequency domain sub-band division method to divide each pulse of the N-channel broadband multi-pulse echo signals into M narrowband signals, thereby obtaining M groups of narrowband echo signals, each group of narrowband echo signals containing N channels; then, uniformly and continuously dividing the M groups of narrowband echo signals 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 accumulation time series, thereby obtaining 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 contains N channels. This signal division method uses frequency domain sub-band division (splitting the broadband signal into M narrowband sub-bands) and time domain short coherent accumulation (dividing each sub-band signal into P short time series) to ultimately generate M×P groups of narrowband short-time echo signals. That is, it can transform the complexity of traditional broadband long pulse processing into "multiple narrowband × short-time windows" parallel lightweight processing. While maintaining performance, it can significantly reduce the complexity of signal processing and improve anti-interference and clutter suppression capabilities.

[0033] In operation S120 , adaptive clutter suppression processing is performed 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.

[0034] In some embodiments, M×P sets of compensated range-Doppler atlases can be generated based on M×P sets of narrowband short-time echo signals. Spatial Time Adaptive Processing (STAP) is then performed on each set of compensated range-Doppler atlases to produce M×P sets of clutter suppression residual maps. Because sub-band range-Doppler maps can compensate for platform motion errors, such as range migration, STAP processing does not lose the inherent resolution of the wideband signal. The clutter suppression residual maps can be stitched together in the frequency domain to restore the full bandwidth resolution while preserving the clutter suppression effect.

[0035] As an example, pulse compression, Doppler sharpening, channel registration and terrain interference phase compensation can be performed on M×P groups of narrowband short-time echo signals one by one to finally generate M×P groups of compensated range Doppler atlases. Specifically, pulse compression and Doppler sharpening can be performed on each group of narrowband short-time echo signals to obtain M×P groups of range Doppler atlases, each group of range Doppler atlases containing N range Doppler images corresponding to the echo data of each channel; then channel registration and terrain interference phase compensation can be 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 degree of refinement of signal processing can be improved and multi-channel system errors can be eliminated. The compensated range Doppler image 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 adaptive processing on each set of compensated range-Doppler atlases to obtain M×P sets of clutter suppression residual maps may include:

[0037] First, construct the data vector of each pixel in each set of compensated range-Doppler atlas. It can be expressed as follows:

[0038]

[0039] Where z m,p (k) represents the data vector of the kth pixel in the m×pth group, S m,p,n (k) represents the range Doppler map of the k-th pixel in the n-th channel of the m×p-th group, and T represents transpose.

[0040] Then, for each data vector z m,p After conjugate transposition, (k) is multiplied by the clutter suppression weight vector corresponding to each data vector to obtain the data of each pixel in the M×P group of clutter suppression residual images. It can be expressed as follows:

[0041]

[0042] Where y m×p (k) represents the k-th pixel data in the m×p-th group of clutter suppression residual images, u m×p (k) represents the clutter suppression weight vector corresponding to the k-th pixel point of the m×p-th group, and H represents the conjugate transpose.

[0043] In operation S130 , non-coherent detection is performed on each set of clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and a high-resolution image of each potential moving target is generated based on the clutter suppression residual map.

[0044] In some embodiments, noncoherent detection can first 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 for each potential moving target. The M / N criterion, such as "5 / 8 detection" (which requires at least five sub-bands to pass before a target is considered a target), can eliminate single-sub-band false alarms, significantly improving the detection probability of low signal-to-noise ratio (SNR) targets while suppressing false alarms caused by random noise or isolated interference. The intersection of multi-sub-band detection results can accurately locate the target's range gate, eliminating single-sub-band range ambiguity or ranging errors.

[0045] Next, based on 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. This 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 clutter-suppressed range-time domain maps. Then, based on these M×P groups of clutter-suppressed range-time domain maps, the echo data corresponding to the P short coherent integration time series divided from the M groups of narrowband echo signals are spliced ​​to obtain M groups of clutter-suppressed range-time series. Next, the M groups of clutter-suppressed range-time series 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, based on the radial velocity information corresponding to the potential moving target, the clutter-suppressed, broadband long-time echo sequence corresponding to the potential moving target is converted into a high-resolution image. Based on the target's radial velocity, motion compensation is performed on the long-time echo sequence, correcting for range migration and Doppler spread caused by target motion. This allows the target energy to be focused in the image domain, significantly improving resolution. Through velocity guidance and broadband long-time coherent processing, the detection and imaging functions of traditional radars can be deeply integrated, achieving high-resolution visualization of moving targets while also enabling data sharing and improving data utilization efficiency.

[0047] Finally, a high-resolution radar image of a potential moving target may be output as needed, but the present invention is not limited thereto.

[0048] The effectiveness of the above-mentioned integrated detection and imaging method is verified by combining simulation data. The scene parameters used in the simulation experiment are shown in Table 1. As an example, the simulation experiment can be performed in mathematical calculation software. It should be noted that the parameter values ​​in Table 1 are only illustrative examples and are not intended to limit the scope of implementation of the present invention.

[0049] Table 1 Simulation experiment scenario parameters

[0050]

[0051] In this simulation experiment, when the radar is working, the antenna is full aperture transmitting and sub-aperture receiving. After the four channels receive the echo signal, the detection and imaging integration method provided by the embodiment of the present invention is used to sequentially perform the operations of echo signal subsequence division, adaptive clutter suppression processing, potential target detection under the M / N criterion, splicing potential moving target signal sequence, high-resolution imaging and output of potential moving target image, etc., and the obtained result can be obtained. Figures 2 to 4 The processing result.

[0052] Figure 2 Schematically shows a long-time amplitude diagram of the original echo data collected according to an embodiment of the present invention, Figure 3 The long-time amplitude diagram of the moving target range after clutter suppression processing according to an embodiment of the present invention is schematically shown. Figure 4 The figure schematically shows a high-resolution radar amplitude map of a potential moving target output according to an embodiment 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 the obvious target echo; after clutter suppression, the moving target echo is submerged by clutter and it is difficult to see the obvious target echo. Figure 3 You can see obvious moving target echo signals, that is, Figure 3 The white curve in the middle; by detecting potential moving targets, obtaining their range gate and radial velocity information, and imaging them through synthetic aperture radar, the high-resolution radar image of the moving target is as follows: Figure 4 As shown, it shows that the method provided by the present invention has strong anti-clutter capability and can realize moving target detection and imaging under strong clutter background.

[0054] Based on the above 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 broadband long-time echo signal into multiple groups of narrow-band short-time series for spatial domain adaptive processing, background clutter can be suppressed, the contrast between the moving target 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 present invention significantly improves the detection performance of low signal-to-noise ratio moving targets; Second, the present invention develops an integrated method for moving target detection and imaging under strong clutter background. By performing clutter suppression processing and moving target detection on the echo, the position and velocity information of the low signal-to-noise ratio moving target can be better obtained. Then, high-resolution imaging of the moving target is performed based on the echo data after clutter suppression processing. This makes the method of the present invention have good anti-clutter capability and realizes high-resolution imaging of weak targets under strong clutter background.

[0055] Based on the above-mentioned satellite-borne radar moving target detection and imaging integrated processing method, the present invention also provides a satellite-borne radar moving target detection and imaging integrated processing device. Figure 5 The device is described in detail.

[0056] Figure 5 The structure block diagram of the integrated processing device for moving target detection and imaging of space-borne radar according to an embodiment of the present invention is schematically shown.

[0057] like Figure 5 As shown, the spaceborne 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 imaging module 530 .

[0058] The signal division module 510 is used to obtain multiple broadband multi-pulse echo signals from the spaceborne radar and divide the multiple broadband multi-pulse echo signals into multiple groups of narrowband 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 repeated here.

[0059] The clutter suppression module 520 is 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. In one embodiment, the clutter suppression module 520 may be configured to perform the operation S120 described above, which will not be described in detail here.

[0060] The detection and imaging module 530 is configured to perform noncoherent detection on each set of clutter suppression residual maps, identify at least one potential moving target detected by the spaceborne radar, and generate a high-resolution image of each potential moving target based on the clutter suppression residual map. In one embodiment, the detection and imaging module 530 can be configured to perform operation S130 described above, and will not be further described here.

[0061] According to an embodiment of the present invention, the signal division module 510 is further configured to receive multi-path broadband multi-pulse echo signals through multiple antenna channels of the spaceborne radar when the spaceborne radar operates in a full-aperture transmission mode.

[0062] According to an embodiment of the present invention, the signal division module 510 is also used to divide each pulse of a multi-channel broadband multi-pulse echo signal into multiple narrowband signals using a frequency domain sub-band division method, thereby obtaining multiple groups of narrowband echo signals, each group of narrowband echo signals containing multiple channels; the multiple groups of narrowband echo signals are evenly 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 multiple short coherent accumulation time series, thereby obtaining multiple groups of narrowband short-time echo signals.

[0063] According to an embodiment of the present invention, the clutter suppression module 520 is further configured to generate multiple sets of compensated range-Doppler atlases based on multiple sets of narrowband short-time echo signals; and perform spatial domain adaptive processing on each set of compensated range-Doppler atlases to obtain multiple sets 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 processing on each group of narrowband short-time echo signals to obtain multiple groups of range Doppler atlases; and perform channel alignment and terrain interferometry 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 in each group of compensated range-Doppler atlases; perform a conjugate transpose on each data vector, and then multiply the data vector by the clutter suppression weight vector corresponding to each data vector to obtain data for each pixel in multiple groups of clutter suppression residual images.

[0066] According to an embodiment of the present invention, the detection imaging module 530 is further configured to perform non-coherent detection on each set 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; extract the wide-band long time series after clutter suppression corresponding to the potential moving target based on the range gate information corresponding to the potential moving target, where the wide-band long time series after clutter suppression is generated based on the clutter suppression residual map; and convert the wide-band long time series after clutter suppression corresponding to the potential moving target into a high-resolution image based on the radial velocity information corresponding to the potential moving target.

[0067] According to an embodiment of the present invention, the detection imaging module 530 is further configured to transform each set of clutter suppression residual maps into the time domain along the Doppler dimension to obtain multiple sets of clutter-suppressed range-time domain maps; based on the multiple sets of clutter-suppressed range-time domain maps, concatenate the echo data corresponding to multiple short coherent accumulation time series divided from multiple sets of narrowband echo signals to obtain multiple sets of clutter-suppressed range long time series; and transform the multiple sets of clutter-suppressed range long time series into the fast time domain along the range dimension and concatenate them according to the fast time sequence to obtain the clutter-suppressed wideband long time series corresponding to each range gate. For details on this, please refer to the previous text and will not be repeated here.

[0068] According to embodiments of the present invention, any multiple modules among the signal partitioning module 510, the clutter suppression module 520, and the detection and imaging module 530 may be combined into a single module, or any one of these modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in a single module. According to embodiments of the present invention, at least one of the signal partitioning 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 a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or may be implemented in hardware or firmware through any other reasonable means of circuit integration or packaging, or may be implemented in any one of software, hardware, and firmware, or any suitable combination of these. Alternatively, at least one of the signal partitioning 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 that, when executed, performs the corresponding functionality.

[0069] Figure 6 The block diagram of an electronic device suitable for implementing the integrated processing method of moving target detection and imaging by space-borne radar according to an embodiment of the present invention is schematically shown.

[0070] like Figure 6 As shown, an electronic device 600 according to an embodiment of the present invention includes a processor 601, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 602 or programs loaded from a storage unit 608 into a random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or related chipsets and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard 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] RAM 603 stores various programs and data required for the operation of electronic device 600. Processor 601, ROM 602, and RAM 603 are interconnected via bus 604. Processor 601 executes the programs in ROM 602 and / or RAM 603 to perform various operations according to the method flow of the embodiment of the present invention. It should be noted that the programs may also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 may also execute the programs stored in one or more memories to perform various operations according to the method flow of the embodiment of the present invention.

[0072] According to an embodiment of the present invention, electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to bus 604. Electronic device 600 may also include one or more of the following components connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 608 including a hard disk; and a communication section 609 including a network interface card such as a LAN card or modem. Communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. Removable media 611, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 610 as needed, so that computer programs read from the removable media can be installed into storage section 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 independently and not incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the present invention.

[0074] According to an embodiment of the present invention, a computer-readable storage medium may be a non-volatile computer-readable storage medium, and may include, for example, but not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present invention, a computer-readable storage medium may include the ROM 602 and / or RAM 603 described above, and / or one or more memories other than ROM 602 and RAM 603.

[0075] Embodiments of the present invention also include a computer program product comprising a computer program containing program code for executing the method shown in the flowchart. When the computer program product is executed in a computer system, the program code is used to cause the computer system to implement the integrated processing method for spaceborne radar moving target detection and imaging provided in an embodiment of the present invention.

[0076] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when the computer program is executed by the processor 601. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0077] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0078] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 609 and / or installed from a removable medium 611. When the computer program is executed by the processor 601, the above-described functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the systems, devices, means, modules, units, etc. described above can be implemented by computer program modules.

[0079] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user 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 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 (for example, using an Internet service provider to connect via the Internet).

[0080] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the above-mentioned module, program segment, or a 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 box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0081] It will be understood by those skilled in the art that the features described in the various embodiments of the present invention may be combined and / or coupled in various ways, even if such combinations or couplings are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention may be combined and / or coupled in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or couplings fall within the scope of the present invention.

[0082] The above describes 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 each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for integrated processing of moving target detection and imaging by spaceborne radar, characterized in that: include: Acquire multi-channel broadband multi-pulse echo signals of a spaceborne radar, and divide the multi-channel broadband multi-pulse echo signals into a plurality of groups of narrowband short-time echo signals; 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; Non-coherent detection is performed on each group of the clutter suppression residual maps to determine at least one potential moving target detected by the spaceborne radar, and a high-resolution image of each potential moving target is generated based on the clutter suppression residual map. The method includes: performing non-coherent detection on each group of the clutter suppression residual maps based on an M / N criterion to determine each potential moving target and range gate information and radial velocity information corresponding to the potential moving target; extracting a wide-band long time series after clutter suppression corresponding to the potential moving target based on the range gate information corresponding to the potential moving target, the wide-band long time series after clutter suppression being generated based on the clutter suppression residual map; and converting the wide-band long time series after clutter suppression corresponding to the potential moving target into the high-resolution image based on the radial velocity information corresponding to the potential moving target.

2. The integrated processing method according to claim 1, characterized in that: The dividing the multi-path broadband multi-pulse echo signal into a plurality of groups of narrowband short-time echo signals comprises: Using a frequency domain sub-band division method to divide each pulse of the multi-path broadband multi-pulse echo signal into multiple narrowband signals to obtain multiple groups of narrowband echo signals, each group of the narrowband echo signals including multiple channels; The multiple groups of narrowband echo signals are evenly and continuously divided according to the pulse timing, so that the echo data of each channel in each group of narrowband echo signals are divided into multiple short coherent accumulation time series to obtain multiple groups of narrowband short-time echo signals.

3. The integrated processing method according to claim 1, characterized in that: The adaptive clutter suppression processing is performed 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, comprising: generating a plurality of compensated range Doppler atlases according to the plurality of narrowband short-time echo signals; Performing spatial domain adaptive processing on each group of the compensated range-Doppler atlases to obtain the multiple groups of clutter suppression residual maps.

4. The integrated processing method according to claim 3, characterized in that: Generating a plurality of groups of compensated range Doppler atlases according to the plurality of groups of narrowband short-time echo signals comprises: performing pulse compression and Doppler sharpening processing on each group of narrowband short-time echo signals to obtain multiple groups of range Doppler atlases; Channel registration and terrain interference phase compensation are performed on each set of the range Doppler atlases to obtain multiple sets of compensated range Doppler atlases.

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 atlases to obtain the multiple groups of clutter suppression residual maps includes: constructing a data vector for each pixel point in each group of the compensated range-Doppler atlas; After performing conjugate transposition on each of the data vectors, the data is multiplied by the clutter suppression weight vector corresponding to each of the data vectors to obtain data of each pixel point in the multiple groups of clutter suppression residual images.

6. The integrated processing method according to claim 1, characterized in that: The extracting of the wide-band long time series after clutter suppression corresponding to the potential moving target comprises: transforming each group of clutter suppression residual maps into the time domain along the Doppler dimension to obtain multiple groups of range-time domain maps after clutter suppression; Based on the multiple groups of clutter-suppressed range time domain graphs, echo data corresponding to multiple short coherent accumulation time series divided by the multiple groups of narrowband short-time echo signals are spliced ​​to obtain multiple groups of clutter-suppressed range long time series; The multiple groups of clutter-suppressed long distance time series are transformed into a fast time domain along the range dimension and spliced ​​according to the fast time sequence to obtain a wide-band long distance time series after clutter suppression corresponding to each range gate.

7. The integrated processing method according to claim 1, characterized in that: The acquiring of multi-channel broadband multi-pulse echo signals of the spaceborne radar comprises: When the spaceborne radar operates in a full-aperture transmission mode, the multi-path broadband multi-pulse echo signals are received through multiple antenna channels of the spaceborne radar.

8. A spaceborne radar moving target detection and imaging integrated processing device, characterized in that: include: A signal division module is used to obtain 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; a clutter suppression module, configured to 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; a detection and imaging module, configured to perform non-coherent detection on each set 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 based on the clutter suppression residual maps; The detection imaging module is further configured to perform non-coherent detection on each set of clutter suppression residual images based on the M / N criterion, and 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, the wide-band long time series after clutter suppression corresponding to the potential moving target is extracted. The wide-band long time series after clutter suppression is generated based on the clutter suppression residual map; according to the radial velocity information corresponding to the potential moving target, the wide-band long time series after clutter suppression corresponding to the potential moving target is converted into a high-resolution image.

9. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are enabled to execute the method according to any one of claims 1 to 7.

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