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).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    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 :

    01.09.1995





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multisensor/multimission surveillance aircraft [2272-06]

    Jobe, J. T. / SPIE | British Library Conference Proceedings | 1994


    A multisensor system for airborne surveillance of oil pollution

    Edgerton, A. T. / Ketchal, R. / Catoe, C. | NTRS | 1973



    Adaptive maneuvering target tracking with 2-HFSWR multisensor surveillance system

    Ling Zhang / Yi Jiang / Yingshuai Li et al. | IEEE | 2017


    Surveillance multisensor management with fuzzy evaluation of sensor task priorities

    Molina, J.M. / Garcia, J. / Jimenez, F.J. et al. | Tema Archiv | 2002