In many practical scenarios with multipath propagation, one target may generate multiple detections in one scan. Proper use of multipath-induced measurements can improve the detection of very low observable (VLO) targets. In this paper, a true multitarget tracker, the joint multipath maximum likelihood probabilistic multihypothesis tracker (JMP-ML-PMHT) is proposed to address this problem. The standard ML-PMHT is extended to incorporate multipath detections and jointly track multiple VLO targets. The Cramer-Rao lower bound with multipath detections is derived. Simulation results with an over-the-horizon-radar scenario show that the JMP-ML-PMHT can detect and track multiple VLO targets by effectively utilizing the information in multipath measurements.


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    Titel :

    Multipath Maximum Likelihood Probabilistic Multihypothesis Tracker for Low Observable Targets


    Beteiligte:
    Tang, X. (Autor:in) / Wu, Q. (Autor:in) / Tharmarasa, R. (Autor:in) / Kirubarajan, T. (Autor:in)


    Erscheinungsdatum :

    2018-02-01


    Format / Umfang :

    1176730 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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