A Decentralized Positioning Scheme Based on Recursive Weighted Least Squares Optimization for Wireless Sensor Networks

被引：4

作者：

Wang, Chin-Liang ^{[1
,2
]}

Wu, Dong-Shing ^{[2
]}

Chen, Shih-Cheng ^{[2
]}

Yang, Kai-Jie ^{[2
]}

机构：

[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 30013, Taiwan

[2] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu 30013, Taiwan

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2015年 / 64卷 / 10期

关键词：

Decentralized methods; recursive weighted least squares (RWLS) optimization; target positioning; wireless sensor networks; RELATIVE LOCATION ESTIMATION; SOURCE LOCALIZATION; PROJECTION;

D O I：

10.1109/TVT.2014.2369816

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new positioning scheme based on recursive weighted least squares (RWLS) optimization for wireless sensor networks. The proposed scheme is derived from minimizing a recursive-in-time cost function and then realized in an iterative decentralized manner. The target location is computed iteratively by taking a weighted average of the local estimates according to the reliability information, where a sensor computes a new estimate based on its own observation and the previous sensor's estimate. Computer simulation results demonstrate that the proposed scheme has better positioning accuracy than previous related methods.

引用

页码：4887 / 4893

页数：8

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