基于分布式压缩感知的双通道SAR GMTI

地面动目标检测(GMTI)是合成孔径雷达(SAR)的基本功能之一。多通道SAR系统相比于单通道SAR系统在动目标检测方面具有很多的优势，但是它的原始数据量也相应成倍的增长。本文提出一种基于分布式压缩感知(DCS)的双通道SAR GMTI数据压缩方案。该方案主要是利用动目标信号的稀疏性来进行数据压缩，因此在观测场景不稀疏的情况下也能使用。仿真和实测数据的处理结果均表明，该方案不仅能有效地降低双通道SAR GMTI的数据量，所得动目标图像的信杂噪比相对于传统的DPCA方法也有所提高。

Dual channel SAR GMTI based on distributed compressive sensing

GMTI (ground moving target indication) is one of the basic functions for SAR (synthetic aperture radar) system. Compared with single channel SAR system, multi channel SAR system has a lot of advantages in GMTI. However, the corresponding original data needed by multi channel SAR system would grow exponentially. This paper proposes a method to compress dual channel SAR GMTI data, basing on DCS (distributed compressive sensing). The proposed method mainly utilizes the sparsity of moving target signals for data compression; therefore it is applicable when the observing scene is not sparse. The simulation and real measurement results have validated that the presented method can efficiently reduce the data size of dual channel SAR GMTI. Also, the signal to clutter and noise ratio (SCNR) shows improvement compared with traditional DPCA GMTI.