The bearing and range estimation of near-field sources is studied and a novel method is presented. In our proposed algorithm the second-order statistics was used to estimate bearing of near-field sources. By exploiting the Toeplitz property of covariance matrix of far-field sources, we reconstruct a far-field approximate covariance matrix with respect to bearing only for near-field sources, which allows for the bearing estimation using the generalized far-field root MUSIC algorithm. The range estimation of all sources is consequently obtained in one time search by defining a novel 1-D MUSIC spectrum. The method has the merits of good estimation precision and its effectiveness is approved by the simulation results.


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    Titel :

    A Novel Near-Field Localization Method Based on Second Order Statistics


    Beteiligte:
    Liu, Hongbo (Autor:in) / Zhang, Wei (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    366726 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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