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.


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    Titel :

    A fast DOA tracking algorithm based on the extended Kalman filter


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


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    297223 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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