A Distributed Radar Imaging Method Based on Resource Optimal Allocation

Abstract

The invention discloses a distributed radar imaging method with optimal configuration of resources, which is applied in the field of radar imaging detection. Aiming at the problem of high-resolution imaging when the resources of the transmitter and receiver are limited, the method of the invention uses the law of the space spectrum in the wavenumber domain of the distributed radar After analysis, the distributed radar imaging geometric model and the spatial spectrum signal model are derived; secondly, by analyzing the singular value distribution of the measurement matrix, the influence of the signal transmission bandwidth and the number of radar transceiver channels on the spatial spectrum is determined, so as to obtain the optimal transmission Signal bandwidth and the number of transmitting and receiving radars; finally, based on the optimal transmission signal bandwidth and the number of transmitting and receiving radars, the system echo and system observation matrix are regenerated, and the truncated singular value decomposition algorithm is used to realize distributed radar imaging; the method of the present invention realizes by reducing Increase the number of radar transceivers, increase the bandwidth of the system's transmitted signals, and improve the imaging resolution of distributed radars.

Description

technical field [0001] The invention belongs to the field of radar imaging detection, in particular to a distributed radar imaging technology. Background technique [0002] Radar uses the reflection of electromagnetic waves to realize the detection, positioning, tracking and identification of targets. Compared with optical imaging, it can image the target all-weather and all-weather, and is not affected by weather, shelters, etc. It plays an important role in long-distance target tracking, natural disaster detection and other civil and military fields. [0003] Compared with synthetic aperture radar (SAR) which uses relative motion to achieve a larger aperture, distributed radar imaging can use the spatial diversity relationship between the transmitter and receiver to form a larger observation aperture. In the document "Xingbin Han, XiaoyongDu, Weidong Hu, and Wenxian Yu, The imaging principle and method based on distributed multi-channel radars [C]. CIE International Confe...

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Problems solved by technology

In the document "Xingbin Han, XiaoyongDu, Weidong Hu, and Wenxian Yu, The imaging principle and method based on distributed multi-channel radars [C]. CIE International Conference on Radar, 2006, pp.696–700.", the author uses the inverse fast The Fourier transform (IFFT) method realizes the imaging of wavenumber domain data, and the number of channels for transmitting and receiving radar is large. When the number of sending and receiving is gradually reduced, the imaging performance of this type of Fourier transform-based method decreases rapidly, and even cannot Get valid information

In the document "R.Baraniuk and P.Steeghs, Compressiveradar imaging[C].2007IEEE Radar Conference.IEEE,2007,pp.128–133.", the author proposed a sparse imaging method based on compressed sensing (CS), which Although the method can obtain high-resolution imaging of the target when the spatial spectrum is sparsely filled, the target will produce off-grid problems at this time

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