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.
A Simpler Proof of Rapid Convergence Rate in Adaptive Arrays
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 1 ; 135-136
2017-02-01
65290 byte
Article (Journal)
Electronic Resource
English
Rapid Convergence Rate in Adaptive Arrays
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