Reed, Mallett, and Brenann (RMB) derived the distribution of the normalized output signal-to-noise ratio (SNR) of an adaptive array, and obtained the RMB rule: the SNR loss is 3 dB when the amount of homogeneous training data used to estimate the noise covariance matrix is approximately twice the dimension of the received signal. Here, we give a new and simpler derivation for this result, based on Bartlett's decomposition of a complex Wishart distribution.


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    Titel :

    A Simpler Proof of Rapid Convergence Rate in Adaptive Arrays


    Beteiligte:
    Jun Liu (Autor:in) / Weijian Liu (Autor:in) / Hongwei Liu (Autor:in)


    Erscheinungsdatum :

    01.02.2017


    Format / Umfang :

    65290 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Rapid Convergence Rate in Adaptive Arrays

    Reed, I.S. / Mallett, J.D. / Brennan, L.E. | IEEE | 1974





    Electric systems simpler

    Clayden, Ludlow | Engineering Index Backfile | 1916