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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    Title :

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


    Contributors:


    Publication date :

    2014-09-01


    Size :

    1443548 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Modely roku 2000

    Online Contents | 2001




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