In this paper, a reduced-rank scheme with joint iterative optimization is presented for direction of arrival estimation. A rank-reduction matrix and an auxiliary reduced-rank parameter vector are jointly optimized to calculate the output power with respect to each scanning angle. Subspace algorithms to estimate the rank-reduction matrix and the auxiliary vector are proposed. Simulations are performed to show that the proposed algorithms achieve enhanced performance over existing algorithms in the studied scenarios.


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    Titel :

    Direction finding algorithms based on joint iterative subspace optimization


    Beteiligte:
    Lei Wang (Autor:in) / de Lamare, Rodrigo C. (Autor:in) / Haardt, Martin (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    1433240 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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