基于压缩感知的多发多收高分辨SAR成像算法研究

压缩感知理论指出，稀疏信号可以通过以低于奈奎斯特采样的测量数据重建出原始信号。针对高分辨率SAR成像在奈奎斯特理论下所面临的高速A／D采样、大数据量存储、传输等问题挑战。本文提出了一种基于压缩感知理论的多发多收高分辨率SAR二维成像算法。该算法减轻了高分辨率SAR成像的压力，采用压缩感知处理降低了A／D采样速率、数据量...

Study on Multi-transmit and Multi-receive High Resolution SAR Imaging Algorithm Based on Compressive Sensing

Compressive sensing （CS） theory indicates that original signal can be reconstructed from sparse by using measured data lower than Nyquist sampling. Considering the challenges that high resolution syntheti signals caperture radar （SAR） imaging might encounter problems such as high speed A/D sampling, the large amount of data storage and transmission in Nyquist theory, a new multi-transmit and multi-receive high resolution SAR 2D imaging algorithm based on compressive sensing （CS） theory is presented. Application of this algorithm reduces pressure of high resolution SAR imaging processing, and applying compression sensing processing decreases A/D sampling rate and data storage; adopting multi-transmit and multi-receive mode can increase resolution in azimuth and extend mapping strips further, decrease the pulse repetition frequency and is very important for studying high resolution SAR imaging. The simulation results by using point targets and distributed target verify effectiveness of the algorithm, and the relationship between down-sampling multiple of compressive sensing and reconstruction effect is given.