Abstract
A new hybrid higher-order statistics (HOS) and second-order statistics (SOS) based approach to improve the performance of the standard Bussgang algorithm for blind equalisation of digital communication channels is presented. An additional term based on SOS has been added to the conventional cost function and the Bayesian estimator has been replaced with an adaptive activation function. This is shown to give faster convergence by an order of magnitude, both in terms of epochs and the mean square error between input and output symbols at different signal-to-noise ratios.
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