Coordinated target tracking in sensor networks by maximizing mutual information-Reference-Cited by-同舟云学术

Coordinated target tracking in sensor networks by maximizing mutual information

Published:2022-10-18 Issue:7-8 Volume:23 Page:947-956
ISSN:1565-1339
Container-title:International Journal of Nonlinear Sciences and Numerical Simulation
language:en
Short-container-title:

Author:

Wang Yintao¹²,Xie Fuchao¹³

Affiliation:

1. School of Marine Science and Technology , Northwestern Polytechnical University , Xi’an , Shaanxi , P.R. China

2. National Key Lab of Underwater Information and Control , Xi’an , Shaanxi , P.R. China

3. Research Institute of Navigation Technology , Xi’an , Shaanxi , P.R. China

Abstract

Abstract This paper addresses the problem of coordinated target tracking in sensor networks. For a typical target tracking scene with nonlinear bearing-only measurements, we first investigate the mutual information between multiple sensors and the target state. To improve the performance of target tracking, we analyzed the relative positions between sensor agents and the target to be tracked and derived the optimal positions for sensors in the network by mutual information maximization. Simulation results are presented and discussed to demonstrate that the performance of estimated target states could be improved by the proposed method.

Funder

National Natural Science Foundation of China

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,General Physics and Astronomy,Mechanics of Materials,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics,Statistical and Nonlinear Physics

Link

https://www.degruyter.com/document/doi/10.1515/ijnsns-2018-0100/pdf

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