Adaptive Equalization for Underwater Acoustic Communication in Multipath Channel

摘要

Adaptive equalizers are always realized in an underwater acoustic time-dispersive channel. In this paper, we propose that for channels having a large eigenvalue spread, the equalizer first adopts recursive least square (RLS) algorithm during the training period and then employs least mean square (LMS) algorithm after switching to decision direct mode. The simulation results demonstrate this equalizer's superior performance. Finally, the equalizer performance in the presence of the receiver's drifting has been investigated and it is found that an equalizer works well if channel coherence remains high.