摘要
ABlindEqualizerBasedonUnsupervisedGausianClusterFormationwithanAdaptiveNon┐LinearityLiuHanyu(DeptofElectricalandComputerEngin...
In this paper we present a blind equalizer algorithm based on an unsupervised Gaussian cluster formation technique with an optimized gradient adaptive step size to update the equalizer coefficients. The novelty of this work lies in the optimization of the nonlinearity of the cluster formation used to achieve an optimal soft decision. The proposed iterative procedure combined with the variable step size gradient based adaptation, significantly accelerates the convergence speed of the blind equalization. The advantages of the proposed equalization techniques are illustrated by simulation. Simulation results obtained are compared with the Sato and Godard blind equalizers.
出处
《通信学报》
EI
CSCD
北大核心
1997年第3期19-26,共8页
Journal on Communications