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
收藏
页码：4887 / 4893
页数：8
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