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Title: Target localization in multipath propagation environment using dictionary-based sparse representation
Authors: Liu, Yuan
Liu, Hongwei
Xia, Xiang-Gen
Wang, Lu
Bi, Guoan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Liu, Y., Liu, H., Xia, X.-G., Wang, L., & Bi, G. (2019). Target localization in multipath propagation environment using dictionary-based sparse representation. IEEE Access, 7, 150583-150597. doi:10.1109/access.2019.2947497
Journal: IEEE Access 
Abstract: This paper addresses the target localization problem in complex multipath propagation environment for three-dimensional (3-D) radar systems. Firstly, an approach based on the singular value decomposition (SVD) technique is developed to reduce the data dimension and formulate the joint multiple snapshot sparse representation problem in the signal subspace domain. Subsequently, a novel sparse representation based DOA estimation algorithm, combined with alternatingly iterative and dictionary refinement techniques, is proposed. The Cramér-Rao bounds (CRB) for the target DOA and attenuation coefficient estimations of multipath model are derived in closed forms. Experimental results based on both simulated data and measured data indicate that the target localization accuracy can be effectively enhanced by utilizing the proposed algorithm in complex terrain and/or limited snapshot scenarios.
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2947497
Schools: School of Electrical and Electronic Engineering 
Rights: © 2019 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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