Geolocation with three or more unmanned aerial vehicles (UAVs) based on time-difference-of-arrivals (TDOA) is possible but has implementation problems including UAV trajectory optimization, measurement association, and communication bandwidth limitations. The complexity of each of these problems is manageable with a simpler system of two netted UAVs that processes multiple TDOA measurements collected over time. Based on TDOA measurements and given a dense pulse environment, a pulse detected at one UAV may correlate with multiple pulses at the other UAV, giving rise to a TDOA measurement set consisting of true and false TDOA measurements at each stage. These measurements are then converted to 2-d measurement components using Gaussian sum approximation. A tracking algorithm that uses integrated track splitting and track prunning and employs a bank of Kalman filters is used to track the emitter. Results from this tracker are superior to those from an unscented Kalman filter, a traditional answer to tracking in the presence of nonlinearities.


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    Titel :

    Measurement Association for emitter geolocation with two UAVs


    Beteiligte:
    Okello, Nickens (Autor:in) / Musicki, Darko (Autor:in)


    Erscheinungsdatum :

    01.07.2007


    Format / Umfang :

    567705 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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