Parameter identification of frequency-selective noisy fast-fading rayleigh digital channels via nonlinear Yule-Walker-like equations

A new procedure is proposed for the identification of data channels affected by randomly time-variant fading. It is based on a set of nonlinear equations employing a minimum number of lags of the observed autocorrelation function (acf), and its solution gives the desired channel fading parameter estimates. Better estimation accuracy is obtained in comparison with the use of classic higher-order Yule-Walker procedure (although this latter employs a linear equation system), in particular for small Doppler spreads and for signal-to-noise ratios not very high.