Surveillance in air traffic control (ATC) uses different kinds of sensors, for instance radar, ADS-B or multi-Iateration sensors (MLAT). These sensors might be either pre-tracked individually or already combined e.g. in an SMGCS tracking system that potentially inhibits the use of Kalman filter based tracking methods in multi-sensor data fusion (MSDF). This paper addresses this particular problem in MSDF for air traffic control. We present a method that aims at combining Kalman based filtering methods with other methods such as covariance intersection on a very deep level. An implementation of this method is integrated into the PHOENIX system developed at DFS [3] and some results will be presented.


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    Titel :

    Integration of track-to-track fusion into multiple-modely filter


    Beteiligte:


    Erscheinungsdatum :

    01.09.2014


    Format / Umfang :

    1443548 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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