Indoor Localization Algorithm for TDOA Measurement in NLOS Environments

Xiaosheng YU  Chengdong WU  Long CHENG  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E97-A   No.5   pp.1149-1152
Publication Date: 2014/05/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E97.A.1149
Type of Manuscript: LETTER
Category: Graphs and Networks
Keyword: 
localization,  wireless sensor network,  ultrasound,  voting matrix,  residual weighting algorithm,  

Full Text: PDF(533KB)>>
Buy this Article




Summary: 
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.