基于压缩感知的单比特合成孔径雷达成像算法  

A Compressive Sensing Method for One Bit Coded Synthetic Aperture Radar Imaging

作　　者：周崇彬[1,2] 刘发林[1,2] 李博 

机构地区：[1]中国科学技术大学电子工程与信息科学系,合肥230027 [2]中科院电磁空间信息重点实验室,合肥230027

出　　处：《微波学报》2015年第6期71-77,共7页Journal of Microwaves

基　　金：国家自然科学基金重点项目(61431016)

摘　　要：在合成孔径雷达系统中,要提高分辨率就意味着产生大量的回波数据,从而加重了数模转换器和存储设备的负担。压缩感知理论的目的是在保证恢复稀疏信号的前提下降低采样率,而本文的目的是降低总的比特率。本文提出了一种基于压缩感知的单比特合成孔径雷达成像算法,并通过仿真实验验证了该算法的性能。与匹配滤波算法相比,该算法不仅能减少数据的总比特率,而且还能有效抑制目标的旁瓣和虚假目标。并且在低信噪比条件下,该算法比传统的多比特压缩感知算法展现出更强的鲁棒性。In synthetic aperture radar( SAR) system,the requirement of high resolution always leads to large amount of echo data,which is a burden on analog-to-digital convertor( ADC) and onboard memory. In the compressive sensing( CS) framework,the goal is to reconstruct sparse signals at reduced sampling rate,while in this paper,the total bit rate that is taken into account can be reduced. This paper proposes a compressive sensing method for one bit coded SAR imaging.Simulation experiments verify the effectiveness of the proposed method. Compared with the matched filtering approach,this method cannot only reduce the total bit rate but also suppress the sidelobes and false targets. Moreover,this method also outperforms traditional multi-bit CS approaches when the signal to noise ratio( SNR) is low.

关 键 词：单比特量化 合成孔径雷达成像 压缩感知 

分 类 号：TN957.52[电子电信—信号与信息处理]