An Imaging Dictionary Based Multipath Suppression Algorithm for Through-Wall Radar Imaging

This paper considers the problem of multipath ghosts elimination for the through-wall radar imaging. We formulate a discrete signal model in the presence of first-order multipath, and propose an imaging dictionary based algorithm to suppress the multipath ghosts. Specifically, first, several estimat...

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Bibliographic Details
Published inIEEE transactions on aerospace and electronic systems Vol. 54; no. 1; pp. 269 - 283
Main Authors Guo, Shisheng, Cui, Guolong, Kong, Lingjiang, Yang, Xiaobo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer simulation
Computer vision
Delay effects
Dictionaries
Electromagnetic scattering
Ghosts
Image processing
Imaging
Imaging dictionary
Mathematical model
multipath ghosts suppression
Radar imaging
through-wall radar (TWR) imaging
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Summary:This paper considers the problem of multipath ghosts elimination for the through-wall radar imaging. We formulate a discrete signal model in the presence of first-order multipath, and propose an imaging dictionary based algorithm to suppress the multipath ghosts. Specifically, first, several estimated images are obtained via two different kinds of imaging dictionaries for the focus delays related to the direct propagation path and the multipaths, respectively. We find that all the estimated images possess large values around the genuine target positions and the multipath ghosts of them do not overlap with each other. Then, based on this feature, these images are fused via incoherent multiplication image fusion method to yield a multipath ghosts free image. Finally, the simulation and real data are used to prove the validity of the proposed approach.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2017.2756298