Abstract:In order to overcome the slow convergence rate and bigger mean square error of Feed-forward Neural Network(FNN) blind equalization algorithm，a FNN blind equalization algorithm based on Orthogonal Wavelet Transform(OWT) was proposed. In the proposed algorithm, orthogonal wavelet transform was prosecuted on input signal of FNN equalizer to reduce the correlation of the input signal by using the de-correlation ability of wavelet transform. Accordingly, the proposed algorithm could improve the convergence rate and reduce the mean square error. The simulation results of underwater acoustic channels showed that the proposed algorithm outperformed FNN blind equalization algorithm in the convergence rate and mean square error.