Wideband underwater sonar imaging via compressed sensing with scaling effect compensation  

作　　者：YAN HuiChen XU Jia XIA Xiang-Gen LIU Feng PENG ShiBao ZHANG XuDong LONG Teng 

机构地区：[1]Department of Electronic Engineering, Tsinghua University [2]School of Information and Electronic,Beijing Institute of Technology [3]Department of Electrical and Computer Engineering, University of Delaware

出　　处：《Science China(Information Sciences)》2015年第2期64-74,共11页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant No.61271391);Postdoctor Foundation(Grant No.2013M530626);Beijing Municipal Natural Science Foundation(Grant No.4122038)

摘　　要：By exploiting the sparsity of the imaging scene, compressed sensing（CS） imaging may provide an effective solution to cope with the tradeoff of high azimuth resolution and wide swath in synthetic aperture sonar imaging. However, existing CS imaging methods are based on narrowband signal model and the scaling effect on the echoes is normally omitted, which may seriously affect the ultimate image reconstruction performance.This paper establishes the wideband CS underwater sonar imaging model at first, where the scaling effect and Doppler frequency shift are jointly considered. Furthermore, two wideband CS imaging approaches are discussed in uniform scale-range space and velocity-range space, respectively. Besides, modified l1-norm minimization algorithms are proposed for the scene reconstruction in velocity-range space. Finally, numerical experiments are provided to demonstrate the effectiveness of the proposed model and the reconstruction algorithms.By exploiting the sparsity of the imaging scene, compressed sensing（CS） imaging may provide an effective solution to cope with the tradeoff of high azimuth resolution and wide swath in synthetic aperture sonar imaging. However, existing CS imaging methods are based on narrowband signal model and the scaling effect on the echoes is normally omitted, which may seriously affect the ultimate image reconstruction performance.This paper establishes the wideband CS underwater sonar imaging model at first, where the scaling effect and Doppler frequency shift are jointly considered. Furthermore, two wideband CS imaging approaches are discussed in uniform scale-range space and velocity-range space, respectively. Besides, modified l1-norm minimization algorithms are proposed for the scene reconstruction in velocity-range space. Finally, numerical experiments are provided to demonstrate the effectiveness of the proposed model and the reconstruction algorithms.

关 键 词：compressed sensing sonar imaging wideband signal scaling effect modified l1 minimization 

分 类 号：TN911.7[电子电信—通信与信息系统]