This paper deals with the design and implementation of MATSurv 1--an experimental Multisensor Air Traffic Surveillance system. The proposed system consists of a Kalman filter based state estimator used in conjunction with a 2D sliding window assignment algorithm. Real data from two FAA radars is used to evaluate the performance of this algorithm. The results indicate that the proposed algorithm provides a superior classification of the measurements into tracks (i.e., the most likely aircraft trajectories) when compared to the aircraft trajectories obtained using the measurement IDs (squawk or IFF code).


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    Titel :

    MATSurv: multisensor air traffic surveillance system


    Beteiligte:

    Kongress:

    Signal and Data Processing of Small Targets 1995 ; 1995 ; San Diego,CA,United States


    Erschienen in:

    Erscheinungsdatum :

    1995-09-01





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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