基于压缩感知的合成孔径雷达二维成像算法

通过对合成孔径雷达回波信号的分析,利用压缩感知理论基于信号稀疏性或可压缩性的基本原理,提出了方位稀疏表示的一种新方法,在此基础上给出了基于压缩感知的SAR回波信号处理方法和二维成像算法,实现了压缩感知对信号的全新采集和编解码,以较少的数据量实现成像,有效地抑制旁瓣,在一定程度上提高了成像中目标的分辨率,为有效降低高分辨合成孔径雷达的数据率提供了一种有效途径。通过对仿真数据和实测数据的处理验证了所提方法的可行性和有效性。

Research on Synthetic Aperture Radar 2D Imaging Based on Compressed Sensing

By the use of the principle of compressed sensing (CS) theory which is based on the sparsity or compressibility of signals, a new sparse representation for azimuth is proposed through the analysis of synthetic aperture radar echo signal. On this basis, a SAR echo signal processing method is obtained and a 2D SAR imaging algorithm which achieve a fire-new data collection and coding of signal is established. The use of this algorithm not only suppresses the side lobe effectively but also enhances the resolution of imaging target to a certain extent, and simultaneously needs less amounts of data for imaging, which provides an efficient path of decreasing the data rate of high resolution synthetic aperture radar. The feasibility and validity of the method proposed in this paper are tested through processing both simulated data and real radar data.