Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/146584
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. | URI: | https://hdl.handle.net/10356/146584 | 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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
08869759.pdf | 7.47 MB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
50
5
Updated on May 27, 2023
Web of ScienceTM
Citations
50
5
Updated on May 30, 2023
Page view(s)
121
Updated on May 31, 2023
Download(s) 50
83
Updated on May 31, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.