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).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    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 :

    01.07.2010


    Format / Umfang :

    2385385 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    RF Emitter Localization with Position-Adaptive MAV Platforms

    Ordonez, R. / Gates, M. / Moma, K. et al. | Tema Archiv | 2010


    Calibration Signal-Assisted Emitter Localization Under Sensor Position Uncertainty

    You, Ming-Yi / Pu, Wenqiang / Zhou, Rui et al. | IEEE | 2025



    Scan-Based Emitter Passive Localization

    Hmam, H. | Online Contents | 2007


    Sensor Path Planning for Emitter Localization

    Hoffmann, Folker | BASE | 2023

    Freier Zugriff