An l_0-Norm Blind Decision Feedback Equalization with Adaptive Zero Attractor for Sparse Underwater Acoustic Channel

摘要

To improve the equalization performance for sparse underwater acoustic channel, an $l_{0}$-norm constraint multimodulus blind decision feedback equalization algorithm with adaptive zero attractor ($l_{0}$-MMBDFE-AZA) is proposed. In contrast to the existent algorithms, the proposed approach incorporates the $l_{0}$-norm constraint into the cost function of multi-modulus blind equalization algorithm, the identification ability for sparse system can be improved. In addition, the proposed algorithm can adaptively adjust the value of zero attractor according to the power of the measurement noise signal, and thus is more suitable for time-varying underwater acoustic environment. Simulation results validate the proposed algorithm and show that the equalization performance of proposed algorithm outperforms that of existing counterparts.