Many direction of arrival (DOA) tracking algorithms suffer heavy computational complexity due to their dependence on the sample covariance matrix. We propose a new DOA tracking algorithm that uses the extended Kalman filter (EKF). Because the proposed algorithm is based on a single snapshot, it requires low computational complexity. Our simulation illustrates that the proposed algorithm performs better than other methods.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A fast DOA tracking algorithm based on the extended Kalman filter


    Beteiligte:
    Dongkeon Kong, (Autor:in) / Joohwan Chun, (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    297223 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Fast DOA Tracking Algorithm Based On The Extended Kalman Filter

    Kong, D. / IEEE | British Library Conference Proceedings | 2000


    Maneuvering target tracking using extended Kalman filter

    Cortina, E. / Otero, D. / D'Attellis, C.E. | IEEE | 1991


    An Adaptive Extended Kalman Filter for Target Image Tracking

    Maybeck, Peter S. / Jensen, Robert L. / Harnly, Douglas A. | IEEE | 1981


    Eye Tracking Algorithm Based on Multi Model Kalman Filter

    Ziafati Bagherzadeh, S. H. / Toosizadeh, S. | BASE | 2022

    Freier Zugriff

    Investigation of automatic path tracking using an extended Kalman filter

    Mouri, H. / Satoh, S. / Furusho, H. et al. | Tema Archiv | 2002