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.
NLOS Identification and Mitigation for Mobile Tracking
IEEE Transactions on Aerospace and Electronic Systems ; 49 , 3 ; 1438-1452
2013-07-01
5017193 byte
Article (Journal)
Electronic Resource
English
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