基于Sigmoid函数的变步长自适应均衡的研究及仿真

The Study on and Simulation of Variable Step-size Adaptive Equalization Based on Sigmoid Function

步长因子的大小直接影响着自适应均衡系统的收敛速度、时变系统的跟踪能力和稳态失调。在利用Sigmoid函数对传统LMS算法进行优化的基础上,通过对自适应均衡算法在普通信道中进行MATLAB的仿真分析,得出改进后的算法具有收敛速度快、稳态误差低的结论。

The size of step factor directly influences the convergence performance of adaptive equalization system and the tracking capabilities and steaty-state maladjustment of time-varying system. Based on the optimization of traditional LMS algorithm by using Sigmoid function,and through the simulation analysis on adaptive equalization algorithm with MATLAB in general channel,this paper draws the conclusion that the improved algorithm has fast convergence speed and low steady-state error.