Sequential TOA-Based Moving Target Localization in Multi-Agent Networks

Localizing moving targets in unknown harsh environments has always been a severe challenge. This letter investigates a novel localization system based on multi-agent networks, where multiple agents serve as mobile anchors broadcasting their time-space information to the targets. We study how the mov...

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Bibliographic Details
Published inIEEE communications letters Vol. 24; no. 8; pp. 1719 - 1723
Main Authors Shi, Qin, Cui, Xiaowei, Zhao, Sihao, Lu, Mingquan
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
agent uncertainties
Algorithms
Broadcasting
Clocks
Covariance matrices
Localization
Lower bounds
Moving targets
multi-agent network
Multiagent systems
Numerical stability
Stability analysis
Time division multiple access
time of arrival (TOA)
Uncertainty
Wireless sensor networks
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Summary:Localizing moving targets in unknown harsh environments has always been a severe challenge. This letter investigates a novel localization system based on multi-agent networks, where multiple agents serve as mobile anchors broadcasting their time-space information to the targets. We study how the moving target can localize itself using the sequential time of arrival (TOA) of the one-way broadcast signals. An extended two-step weighted least squares (TSWLS) method is proposed to jointly estimate the position and velocity of the target in the presence of agent information uncertainties. We also address the large target clock offset (LTCO) problem for numerical stability. Analytical results reveal that our method reaches the Cramér-Rao lower bound (CRLB) under small noises. Numerical results show that the proposed method performs better than the existing algorithms.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2020.2993894