Abstract

The speed of transmission over a digital channel is limited due to the effect of intersymbol interference (ISI) and co-channel interference (CCI). The process of removing ISI and CCI 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-stationary and 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). Simulation results are presented for binary signal with ISI and CCI and for 4-QAM and 16-QAM with ISI and non-linearity.

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