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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    Title :

    RF Emitter Localization with Position-Adaptive MAV Platforms


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


    Publication date :

    2010


    Size :

    9 Seiten, 2 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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