This paper provides a discussion and a summary of the latest results on a novel sensor-node based approach to emitter localization denoted as Position - Adaptive Direction Finding (PADF). PADF is based on the formulation and investigation of iterative path-loss based (i.e. path loss exponent) metrics estimates that are measured across multiple platforms in order to robotically/intelligently positionally adapt (i.e. self-adjust) the location of each platform. We demonstrate that this approach shows potential for accurate emitter localization in challenging embedded multipath environments (i.e. urban environments).


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    Titel :

    RF Emitter Localization with Position-Adaptive MAV Platforms


    Beteiligte:
    Ordonez, R. (Autor:in) / Gates, M. (Autor:in) / Moma, K. (Autor:in) / Mitra, A. (Autor:in) / Selmic, R. (Autor:in) / Detweiler, P. (Autor:in) / Cox, C. (Autor:in) / Parker, G. (Autor:in) / Goff, Z. (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    9 Seiten, 2 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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