Adaptive decision-feedback equalization of digital transmission channels using forward-only counterpropagation networks

An application of the forward-only counterpropagation network (FCPN) is proposed for nonlinear equalization of digital transmission channels. The learning mechanism of the FCPN is a combination of unsupervised self-organization and supervised training. A decision-feedback equalizer (DFE) based on FCPN was simulated on a digital computer. The results of the simulation demonstrate a superior bit-error rate performance of the FCPN-based DFE over the conventional DFE based on transversal filers, especially in high signal-to-noise-ratio conditions. It is also shown that the FCPN-based DFE can adaptively equalize time-varying transmission channels by using this self-organization mechanism.<
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