NLOS identification and mitigation for mobile tracking

Kegen Yu; Eryk Dutkiewicz

doi:10.1109/TAES.2013.6557997

NLOS identification and mitigation for mobile tracking

Kegen Yu, Eryk Dutkiewicz

School of Engineering

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)

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.

Original language	English
Article number	6557997
Pages (from-to)	1438-1452
Number of pages	15
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	49
Issue number	3
DOIs	https://doi.org/10.1109/TAES.2013.6557997
Publication status	Published - 2013

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10.1109/TAES.2013.6557997

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NLOS identification and mitigation for mobile tracking

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