Collaborative Beamforming for Multi‐Target Localization Using Passive Anchors

ABSTRACT Using wireless passive sensor nodes as anchors is a cost‐effective way for localization system. However, the quality of ranging information is determined by the power of request signal from the active targets. Thus, localization accuracy is influenced by the location request and transmission power allocation schemes. In this letter, we provide the Fisher information matrix of multiple active target localization using passive anchors. Further, we propose a joint collaborative beamforming strategy to optimize the localization accuracy considering the power constraints and localization availability constraints. The proposed strategy employs a two‐stage semidefinite programming to fully exploit the spatial correlation. Simulation results demonstrate that our proposed strategy outperforms other schemes in improving the localization performance.

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Publication Details

Journal
Electronics Letters
Published
2025-12-30
DOI
https://doi.org/10.1049/ell2.70510
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Collaborative Beamforming for Multi‐Target Localization Using Passive Anchors

X. Z. Li, Yi Zhao, Xingjun Lai, Hongyuan Liu
Electronics Letters
Indoor and Outdoor Localization Technologies
article

Collaborative Beamforming for Multi‐Target Localization Using Passive Anchors

X. Z. Li, Yi Zhao, Xingjun Lai, Hongyuan Liu
article en

Abstract

ABSTRACT Using wireless passive sensor nodes as anchors is a cost‐effective way for localization system. However, the quality of ranging information is determined by the power of request signal from the active targets. Thus, localization accuracy is influenced by the location request and transmission power allocation schemes. In this letter, we provide the Fisher information matrix of multiple active target localization using passive anchors. Further, we propose a joint collaborative beamforming strategy to optimize the localization accuracy considering the power constraints and localization availability constraints. The proposed strategy employs a two‐stage semidefinite programming to fully exploit the spatial correlation. Simulation results demonstrate that our proposed strategy outperforms other schemes in improving the localization performance.

Electronics LettersVol. 62(1)
Sun Yat-sen University (CN), Shenzhen Institute of Information Technology (CN), Intelligent Systems Research (United States) (US)
Ministry of Industry and Information Technology of the People's Republic of China
Openalex Percentile: Top 41%
Indoor and Outdoor Localization Technologies
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Collaborative Beamforming for Multi‐Target Localization Using Passive Anchors — X. Z. Li, Yi Zhao, et al. · Electronics Letters (2025) | TGRS Research Map | TGRS