Target localization in multipath propagation environment using dictionary-based sparse representation
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 snaps...
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sg-ntu-dr.10356-1465842021-03-02T03:53:00Z Target localization in multipath propagation environment using dictionary-based sparse representation Liu, Yuan Liu, Hongwei Xia, Xiang-Gen Wang, Lu Bi, Guoan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Cramér-Rao Bound Direction of Arrival Estimation 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. Published version 2021-03-02T03:53:00Z 2021-03-02T03:53:00Z 2019 Journal Article 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 2169-3536 0000-0002-8880-3451 0000-0002-9011-9181 https://hdl.handle.net/10356/146584 10.1109/ACCESS.2019.2947497 2-s2.0-85078353513 7 150583 150597 en IEEE Access © 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. application/pdf |
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Engineering::Electrical and electronic engineering Cramér-Rao Bound Direction of Arrival Estimation Liu, Yuan Liu, Hongwei Xia, Xiang-Gen Wang, Lu Bi, Guoan Target localization in multipath propagation environment using dictionary-based sparse representation |
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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. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Liu, Yuan Liu, Hongwei Xia, Xiang-Gen Wang, Lu Bi, Guoan |
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Article |
author |
Liu, Yuan Liu, Hongwei Xia, Xiang-Gen Wang, Lu Bi, Guoan |
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Liu, Yuan |
title |
Target localization in multipath propagation environment using dictionary-based sparse representation |
title_short |
Target localization in multipath propagation environment using dictionary-based sparse representation |
title_full |
Target localization in multipath propagation environment using dictionary-based sparse representation |
title_fullStr |
Target localization in multipath propagation environment using dictionary-based sparse representation |
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Target localization in multipath propagation environment using dictionary-based sparse representation |
title_sort |
target localization in multipath propagation environment using dictionary-based sparse representation |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/146584 |
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1695706147693002752 |