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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2015-08-14
Time Domain Sparse Representation for Multi-Aspect SAR Data of Targets
By
Jin-Rong Zhong,

    Dr. Jin-Rong Zhong

    National University of Defense Technology

    China

    Homepage

Gongjian Wen,

    Dr. Gongjian Wen

    National Univ. of Defense Technology

    China

    Homepage

Conghui Ma,

    Dr. Conghui Ma

    Science and Technology on Automatic Target Recognition Laboratory

    National University of Defense Technology

    China

    Homepage

Bai-Yan Ding

    Dr. Bai-Yan Ding

    School of Electronics Science and Engineering

    National University of Defense Technology (NUDT)

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 55, 15-22, 2015
doi:10.2528/PIERL15042405 | Google Scholar

Abstract
Sparse representation is the fundamental technology of compressive sensing, sparse three-dimensional (3-D) imaging, and dictionary-based parameter estimation. Typical sparse representation models of radar signal work in the frequency domain, which may encounter high dimension and large data amount of dictionary. This paper presents a time-domain (TD) representation model for multi-aspect SAR data. We generate the multi-aspect two-dimensional (2-D) TD responses of the 3-D scattering center model. Then we cut off the low-energy area of the 2-D TD response and use cutoff responses to construct the dictionary of sparse representation. Such a TD dictionary is a sparse matrix. Moreover, we build and solve the sparse representation model based on the TD dictionary. Compared with the frequency-domain (FD) sparse representation model, the data size of our TD dictionary is remarkably lower, and the solving of TD sparse representation problem is in higher efficiency. We utilize the TD sparse representation to reconstruct 3-D images from multi-aspect SAR data. Experimental results demonstrate the effectiveness and efficiency of the TD sparse representation model.
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Citation
Jin-Rong Zhong, Gongjian Wen, Conghui Ma, and Bai-Yan Ding, "Time Domain Sparse Representation for Multi-Aspect SAR Data of Targets," Progress In Electromagnetics Research Letters, Vol. 55, 15-22, 2015.
doi:10.2528/PIERL15042405
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