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.


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    Title :

    NLOS Identification and Mitigation for Mobile Tracking


    Contributors:
    Kegen Yu, (author) / Dutkiewicz, E. (author)


    Publication date :

    2013-07-01


    Size :

    5017193 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English