SPC06-1: Robust Blind Equalizer over Fast Time-Varying ISI Fading Channels

In this study, we propose a novel robust diversity combination algorithm for a blind equalizer, which takes advantage of the multipath diversity to significantly improve the performance of the conventional blind equalizers. The proposed robust blind equalizer based on the weighted Gaussian sum (WGS) technique and the network of extended Kalman filters, can effectively estimate both the channel coefficients and the transmitted symbols over the fast time-varying inter-symbol interference (ISI) fading channels. Simulation results illustrate that the proposed blind equalizer based on the robust diversity combination algorithm can track the fast time-varying fading channel more accurately than the conventional blind equalizers. For symbol detection, the proposed robust blind equalizer shows a significant improvement compared with the conventional blind equalizers in the bit error rate (BER) performance.