ABSTRACT

The speed of transmission over a digital channel is limited due to the effect of intersymbol interference (ISI). The process of removing ISI from the received signal is known as equalization. Traditional algorithms like least mean square (LMS), recursive least square (RLS) and constant modulus algorithm (CMA) have been used extensively in the past, both practically and for research purpose, but each has its shortcoming, as all of them do not perform well when the channel is non-linear. To overcome this, non-linear adaptive equalizers were developed, which would perform better even in non-stationary and non-linear environment. In this report we investigate this non-linear adaptive equalizers using radial basis functions (RBF) for overcoming the non-linear environment. Simulation results are presented for a highly distorted and non-linear 64-QAM signals.

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