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 :

    2010-07-01


    Size :

    2385385 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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