Wavelet Neural Network Equalization Algorithm Based on Spatial Diversity

The multi-path fading channels always introduce inter-symbol interference (ISI) in the receiver and affect communication quality seriously. In order to suppress the ISI and decrease bit error rate, a wavelet neural network algorithm based on spatial diversity equalizer(SD-WNN) is proposed on basis of the spatial diversity technique and wavelet neural network. In the proposed SD-WNN algorithm, the spatial diversity technique is employed for reducing fading effect and wavelet neural network is used to overcome inter-symbol interference (ISI). The proposed SD-WNN algorithm outperforms wavelet neural network (WNN) algorithm in improving convergence rate and reducing mean square error. The simulation tests with underwater acoustic channel show the validity of the proposed SD-WNN algorithm.