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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    Title :

    A Simpler Proof of Rapid Convergence Rate in Adaptive Arrays


    Contributors:
    Jun Liu (author) / Weijian Liu (author) / Hongwei Liu (author)


    Publication date :

    2017-02-01


    Size :

    65290 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    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