Indoor Localization Algorithm for TDOA Measurement in NLOS Environments

被引：8
|
作者：
Yu, Xiaosheng [1 ]
Wu, Chengdong [1 ]
Cheng, Long [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2014年 / E97A卷 / 05期
基金：
中国国家自然科学基金;
关键词：
localization; wireless sensor network ultrasound; voting matrix; residual weighting algorithm;
D O I：
10.1587/transfun.E97.A.1149
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The complicated indoor environment such as obstacles causes the non-line of sight (NLOS) environment. In this paper, we propose a voting matrix based residual weighting (VM-Rwgh) algorithm to mitigate NLOS errors in indoor localization system. The voting matrix is employed to provide initial localization results. The residual weighting is used to improve the localization accuracy. The VM-Rwgh algorithm can overcome the effects of NLOS errors, even when more than half of the measurements contain NLOS errors. Simulation results show that the VM-Rwgh algorithm provides higher location accuracy with relatively lower computational complexity in comparison with other methods.
引用
收藏
页码：1149 / 1152
页数：4
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