基于Hammerstein模型的非线性信道广义线性盲均衡算法

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

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.

In order to improve the performance of nonlinear channel blind equalizers and reduce the complexity,the Ham-merstein 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 transmit-ted 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.