Optimized Decision Feedback Equalizer Algorithm based on Sparse Underwater Acoustic Channel

Abstract

A new optimized blind equalization algorithm for sparse underwater acoustic channel is proposed in this paper. The decision feedback equalizer is a common nonlinear equalizer to overcome the effect of noise in underwater acoustic communication. The decision feedback equalizer algorithm tracks the underwater acoustic channel change and utilizes the feedback information to adjust equalizer. The great calculation amount and complex structure lead the reduction of the algorithm performance. The proposed algorithmreduces the calculation amount with the help of simulated annealing algorithm based on sparse underwater acoustic channel and reaches the effectiveness. Based on the equalization model, various experimental performance analysis has proved that the convergence rate of the proposed algorithm was higher than common decision feedback equalizer algorithm.