Abstract:

A new fast adaptive equalization algorithm is proposed to improve the convergence ability in equalizing underwater acoustic signal. The algorithm, which combines the modified normalized square error algorithm with decision feedback equalizer structure, realizes the adaptive equalization of various underwater acoustic channels and is prone to hardware realization on the premise of non-increasing computational quantity. The simulation results show that computational quantity of the proposed algorithm is comparable to normalized least square error (NLMS), but mean square error (MSE) performance and convergence rate are superior to NLMS on a large extend; the convergence ability of the proposed algorithm is close to variable tap-length decision feed-back equalizer based on recursive least square (RLSDFE) algorithm, but it overcomes the fact problem of great computational quantity and improbable hardware realization which existed in RLSDFE algorithm. This algorithm is a realizable method with good performance in underwater acoustic communication.