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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    Title :

    A fast DOA tracking algorithm based on the extended Kalman filter


    Contributors:


    Publication date :

    2000-01-01


    Size :

    297223 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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