NLOS Identification and Mitigation for Mobile Tracking

被引:43
作者
Yu, Kegen [1 ]
Dutkiewicz, Eryk [2 ]
机构
[1] Univ New S Wales, Sch Surveying & Spatial Informat Syst, Sydney, NSW 2052, Australia
[2] Macquarie Univ, Dept Elect Engn, N Ryde, NSW 2109, Australia
基金
中国国家自然科学基金;
关键词
LOCATION ESTIMATOR; FILTER; UKF;
D O I
10.1109/TAES.2013.6557997
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A distance smoothing method is proposed, which uses online line-of-sight (LOS) and NLOS identification. A technique is proposed to integrate distance, mobile velocity, and heading estimates for position determination through Kalman filtering. Hypothesis testing analysis is performed to provide a guideline for selecting the threshold values. Simulation results demonstrate that the proposed approach significantly improves position accuracy as compared with the existing algorithms.
引用
收藏
页码:1438 / 1452
页数:15
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