Signal Regeneration Adaptive Equalizer for Fast Fading Environment

The signal regeneration method (SRE) and associated adaptive algorithms are proposed for fast fading channels. The adaptive algorithms such as the leaky least mean square (LLMS) algorithm assisted by the SRE method provide the signal-to-interference-noise-ratio (SINR) performance comparable to the linear minimum mean square error (LMMSE) equalizer, with low numerical complexity and low memory requirements. The proposed SRE-LLMS algorithm is analyzed based on the independence assumption, and shown to provide low excessive mean square error (EMSE) compared to the LMS algorithm without incurring a bias in its estimate. The simulation results for the wireless channel models such as VA30 and VA120 are presented to validate the analysis.