基于Hammerstein模型的非线性信道广义线性盲均衡算法

为了提高非线性信道盲均衡的性能、降低运算复杂度,本文以Hammerstein模型代替传统的Volterra级数模型来模拟非线性信道,利用非线性信道接收信号呈现非圆性的特点,构造了一种新的基于Wiener非线性模型的广义线性盲均衡器,并在常模准则的基础上提出了NCWL-CMA和NCWL-CMA Newton-like两种非线性信道广义线性盲均衡器抽头系数更新算法.理论分析和仿真实验结果表明,与传统盲均衡算法相比,新算法显著地降低了剩余码间干扰,提高了收敛速度.

Widely Linear Blind Equalization Algorithms for Nonlinear Channels Based on the Hammerstein Model

In order to improve the performance of nonlinear channel blind equalizers and reduce the complexity,the Hammerstein model is introduced to simulate the nonlinear channel instead of traditional Volterra series model.Then a new nonlinear channel WL blind equalizer based on Wiener model is produced by use of the noncircularity of received signals which are transmitted by nonlinear channels,thus the nonlinear channel WL constant modulus algorithm (NCWL-CMA) and the nonlinear channel WL constant modulus Newton-like algorithm (NCWL-CMA Newton-like) are proposed.Theoretical analysis and simulation results show that the new algorithms can significantly reduce the intersymbol interference and improve the convergence rate in comparison with the traditional blind equalization algorithms.