基于单比特的分段SAR成像重建算法  

Segmented reconstruction for SAR imaging based on 1-bit compressed sensing

作　　者：吕元浩 刘发林[1,2] 李博 胡静秋[1,2] 

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

出　　处：《中国科学技术大学学报》2017年第10期848-853,共6页JUSTC

基　　金：国家自然科学基金重点项目(61431016)资助

摘　　要：在合成孔径雷达系统中,由于回波的信噪比不是很高,因此单比特成像算法有很大的优势;然而直接基于单比特的雷达成像算法的时间复杂度一般比匹配滤波法高.为了降低单比特成像算法的时间复杂度,提出了一种基于分段重构的单比特成像算法,并通过仿真实验验证了该算法的高效性.该算法不仅可以减少重构的时间,而且可以减少对计算机存储空间的消耗.信号选择了步进频信号,不仅因为步进频信号在采样的时候容易取样,而且在仿真时采用步进频比采用线性调频波的系统会进一步的减少重构时间.In Synthetic Aperture Radar（SAR）systems,imaging algorithms based on 1-bit have a great advantage because the echo＇s SNR is generally not high.However,those algorithms often require more time than the match filter strategy.A segmented method based on 1-bit compressed sensing was proposed for reducing reconstruction time.Simulation experiments verify the effectiveness of the proposed algorithm.This method can not only reduce time consumption,but also the required memory size.The stepped-frequency waveform is selected not only because it can make sampling easier than other waveforms,but also because it takes less time to recover the same scene when the stepped-frequency waveform is used instead of linear frequency modulation（LFM）waveform.

关 键 词：单比特 压缩感知 分段成像 步进频 

分 类 号：TN95[电子电信—信号与信息处理]