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Snapshot imaging radar for moving target detection based on distributed compression sensing

Snapshot radar is microwave imaging technique based on antenna array signal processing, which can realize both of spatial resolution and temporal resolution of the observed scene. It has the characteristics of all-day, all-weather and fast imaging, therefore, it has wide application prospect in helicopter navigation, traffic monitoring, bridge building deformation detection and other fields. In this paper, distributed compression sensing signal processing technology is applied to snapshot imaging radar for moving target detection, and imaging model and method are deduced. Then, snapshot radar sequence experimental images focused via traditional algorithm and distributed compression sensing algorithm are analyzed, which shows that the algorithm of this paper requires only one fifth of echo data compared with the traditional algorithm.