Design of a blind equalizer based on BP neural networks

In order to construct an efficient BP neural network for the blind equalizer in some voice signal communica-tion systems,the pseudo-codes of the blind equalization method based on BP neural networks are programmed,and the time complexity is calculated.Efficiencies of the BP neural networks with variable numbers of the input-layer neurons,of the mid-layer neurons and of the mid layer are evaluated.The efficiency improving the capability of the BP neural networks based on three variable step-size methods,which are developed from the sigmoid function,the error com-pensatory method and the residual errors,are also evaluated.A blind equalizer based on a two-layer BP neural network structure is obtained.Simulations show its capability and verify its scope of application.