中文版 | English
题名

Bearing-only distributed localization: A unified barycentric approach

作者
通讯作者Xie,Lihua
发表日期
2021-11-01
DOI
发表期刊
ISSN
0005-1098
卷号133
摘要

This paper studies the distributed localization problem of d-dimensional (d=2,3) sensor networks using local bearing measurements. Firstly, a distributed algorithm for computing barycentric coordinates in both 2-D and 3-D sensor networks is proposed where only local bearing measurements are required. Secondly, some necessary and/or sufficient conditions for the localizability of sensor networks, which are related to the rank of a matrix constructed from the barycentric coordinates, are provided. Thirdly, given position knowledge of at least d+1 anchors, a distributed iterative algorithm is presented such that all the sensor nodes can localize themselves cooperatively in the global coordinate system via local bidirectional communications. Some illustrative simulations are provided to demonstrate the effectiveness of our theoretic analysis.

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相关链接[Scopus记录]
收录类别
SCI ; EI
语种
英语
学校署名
其他
WOS记录号
WOS:000702835200001
EI入藏号
20213310784935
EI主题词
Iterative methods
EI分类号
Radio Systems and Equipment:716.3 ; Computer Systems and Equipment:722 ; Numerical Methods:921.6
ESI学科分类
ENGINEERING
引用统计
被引频次[WOS]:17
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/242992
专题工学院_电子与电气工程系
作者单位
1.School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore,50 Nanyang Avenue,639798,Singapore
2.School of Automation,Hangzhou Dianzi University,Hangzhou,310018,China
3.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
推荐引用方式
GB/T 7714
Cao,Kun,Han,Zhimin,Lin,Zhiyun,et al. Bearing-only distributed localization: A unified barycentric approach[J]. AUTOMATICA,2021,133.
APA
Cao,Kun,Han,Zhimin,Lin,Zhiyun,&Xie,Lihua.(2021).Bearing-only distributed localization: A unified barycentric approach.AUTOMATICA,133.
MLA
Cao,Kun,et al."Bearing-only distributed localization: A unified barycentric approach".AUTOMATICA 133(2021).
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2021Automatica-CaoKu(847KB)----限制开放--
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