跳到主要导航 跳到搜索 跳到主要内容

A weighted least squares source localization algorithm using TDOA measurements in wireless sensor networks

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposes a novel weighted least squares (WLS) algorithm for a single static source localization in wireless sensor networks (WSNs) using time difference of arrival (TDOA). Owing to the nonlinearity of the original distance difference equations derived from TDOA, it is difficult to estimate the location directly. So we first establish a new linearizing approach to give a closed-form solution. By taking a node as reference, all the equations share the same term as the range between the source and the reference node. Utilizing simple algebraic means, the same term can be eliminated with equations transformed into linear formulas. We further analyze the noise component in the formulas and develop a WLS solution to estimate the single source's coordinate. Simulation results show that the proposed method outperforms the existing closed-form GS method.

源语言英语
主期刊名ICEIEC 2016 - Proceedings of 2016 IEEE 6th International Conference on Electronics Information and Emergency Communication
编辑Vincent Tam, Li Wenzheng
出版商Institute of Electrical and Electronics Engineers Inc.
10-13
页数4
ISBN(电子版)9781509019960
DOI
出版状态已出版 - 12 10月 2016
活动6th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2016 - Beijing, 中国
期限: 17 6月 201619 6月 2016

出版系列

姓名ICEIEC 2016 - Proceedings of 2016 IEEE 6th International Conference on Electronics Information and Emergency Communication

会议

会议6th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2016
国家/地区中国
Beijing
时期17/06/1619/06/16

学术指纹

探究 'A weighted least squares source localization algorithm using TDOA measurements in wireless sensor networks' 的科研主题。它们共同构成独一无二的学术指纹。

引用此