Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation

In a multipath propagation environment, prevalent target localization methods are mainly based on the classical two-ray propagation model without considering other reflected waves. Because the received target echoes are considerably corrupted by multipath reflections in the case of complex terrain,...

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Main Authors: Liu, Yuan, Liu, Hongwei, Wang, Lu, Bi, Guoan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/155076
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1550762022-02-07T07:19:57Z Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation Liu, Yuan Liu, Hongwei Wang, Lu Bi, Guoan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Earth Radar In a multipath propagation environment, prevalent target localization methods are mainly based on the classical two-ray propagation model without considering other reflected waves. Because the received target echoes are considerably corrupted by multipath reflections in the case of complex terrain, these prevalent methods might fail to work or achieve poor performance. To solve this problem, we first consider a practical multipath propagation scenario to reveal the dynamic structural relationship of the spatial paths based on the spherical earth model. Subsequently, a target localization algorithm based on low-rank decomposition (LRD) and sparse representation (SR) framework is proposed. The proposed algorithm can effectively mitigate the effects of complex multipath interference without using any prior knowledge on the illuminated terrain and the reflecting paths. Experiments on synthetic data and real data validate the effectiveness of the proposed algorithm. This work was supported by the National Science Fund for Distinguished Young Scholars under Grant 61525105. 2022-02-07T07:19:57Z 2022-02-07T07:19:57Z 2020 Journal Article Liu, Y., Liu, H., Wang, L. & Bi, G. (2020). Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation. IEEE Transactions On Geoscience and Remote Sensing, 58(9), 6197-6209. https://dx.doi.org/10.1109/TGRS.2020.2975218 0196-2892 https://hdl.handle.net/10356/155076 10.1109/TGRS.2020.2975218 2-s2.0-85094160344 9 58 6197 6209 en IEEE Transactions on Geoscience and Remote Sensing © 2020 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Earth
Radar
spellingShingle Engineering::Electrical and electronic engineering
Earth
Radar
Liu, Yuan
Liu, Hongwei
Wang, Lu
Bi, Guoan
Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
description In a multipath propagation environment, prevalent target localization methods are mainly based on the classical two-ray propagation model without considering other reflected waves. Because the received target echoes are considerably corrupted by multipath reflections in the case of complex terrain, these prevalent methods might fail to work or achieve poor performance. To solve this problem, we first consider a practical multipath propagation scenario to reveal the dynamic structural relationship of the spatial paths based on the spherical earth model. Subsequently, a target localization algorithm based on low-rank decomposition (LRD) and sparse representation (SR) framework is proposed. The proposed algorithm can effectively mitigate the effects of complex multipath interference without using any prior knowledge on the illuminated terrain and the reflecting paths. Experiments on synthetic data and real data validate the effectiveness of the proposed algorithm.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Yuan
Liu, Hongwei
Wang, Lu
Bi, Guoan
format Article
author Liu, Yuan
Liu, Hongwei
Wang, Lu
Bi, Guoan
author_sort Liu, Yuan
title Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
title_short Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
title_full Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
title_fullStr Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
title_full_unstemmed Target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
title_sort target localization in high-coherence multipath environment based on low-rank decomposition and sparse representation
publishDate 2022
url https://hdl.handle.net/10356/155076
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