A new approach is proposed for maneuvering target tracking.Target motion is described by nonlinear models in a sphericalcoordinate system. States of these models are estimated byquantization, multiple hypothesis testing, and a suboptimumdecoding algorithm of information theory. This approach does notrequire linearization of nonlinear models. Hence it is superior toclassical estimation techniques, such as the extended Kalman filter.Simulation results, some of which are presented here, haveshown the superiority of the proposed approach over target trackingwith the extended Kalman filter.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Maneuvering Target Tracking with Hypothesis Testing


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.11.1987


    Format / Umfang :

    2098206 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Maneuvering target tracking with colored noise

    Wen-Rong Wu / Dah-Chung Chang | IEEE | 1996


    Maneuvering Target Tracking with Colored Noise

    Wu, W.-R. | Online Contents | 1996


    Visual Tracking of a Maneuvering Target

    Stepanyan, Vahram / Hovakimyan, Naira | AIAA | 2006


    Maneuvering Target Tracking with Non-Guassian Noise

    Song, X. / Sun, Z. / IEEE | British Library Conference Proceedings | 1997