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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    Titel :

    NLOS Identification and Mitigation for Mobile Tracking


    Beteiligte:
    Kegen Yu, (Autor:in) / Dutkiewicz, E. (Autor:in)


    Erscheinungsdatum :

    2013-07-01


    Format / Umfang :

    5017193 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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