NLOS Identification and Mitigation for Mobile Tracking

Author

Kegen Yu ; Dutkiewicz, Eryk

Author_Institution

Sch. of Surveying & Spatial Inf. Syst., Univ. of New South Wales, Sydney, NSW, Australia

Volume

49

Issue

3

fYear

2013

fDate

Jul-13

Firstpage

1438

Lastpage

1452

Abstract

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.

Keywords

Kalman filters; mobile radio; radio tracking; smoothing methods; Kalman filtering; NLOS identification; distance smoothing method; hypothesis testing analysis; network-based mobile tracking mitigation; non-line-of-sight mitigation approach; online line-of-sight identification; threshold value selection; Accuracy; Base stations; Distance measurement; Mathematical model; Mobile communication; Noise; Vectors;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2013.6557997

Filename

6557997