Convergence Analysis of a Prediction based Adaptive Equalizer for IIR Channels
نویسندگان
چکیده
This paper presents the convergence analysis of a prediction based blind equalizer for IIR channels. Predictor parameters are estimated by using the recursive least squares algorithm. It is shown that the prediction error converges almost surely (a.s.) toward a scalar multiple of the unknown input symbol sequence. It is also proved that the convergence rate of the parameter estimation error is of the same order as that in the iterated logarithm law. Keywords– Adaptive blind equalizer, Recursive least squares, Adaptive Filtering, Convergence analysis.
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