一种用于水声信道的稀疏权超指数迭代盲均衡算法研究

超指数算法的迭代算法便于跟踪时变信道,但是,其计算量与权长的平方成比例,不利于工程实现.该文利用水声信道的稀疏性,采用超指数算法的部分步骤,估计权向量并进行稀疏处理,初始化超指数迭代算法,不但减小了算法的计算量,而且加快了算法的收敛速度.计算机仿真证明了该方法的有效性.

Improved Sparse Blind Equalizer Using Super-Exponential Iterative Form Algorithm for Underwater Acoustic Channels

The iterative form of the Super-Exponential (SE) algorithm has good convergence capability, but its complexity increases with the square of the equalizer length, which makes it unsuitable for hardware implementation. According to the properties of sparse underwater channels, a novel improved sparse Super-Exponential Iterative (SEI) blind equalization algorithm is proposed, which uses part of the SE algorithm to estimate the equalizer. After sparse processing, the equalizer is used to initialize the SEI algorithm. Less complexity and faster convergence rate is attainable with this method. The computer simulation results confirm the effectiveness of the proposed algorithm.