Abstract
For greatly improving the convergence rate of constant modulus blind equalization algorithm and avoiding local minima, orthogonal wavelet transform blind equalization algorithm based on chaos optimization is proposed, on the basis of analyzing chaos optimization algorithm and orthogonal wavelet transform based blind equalization algorithm. The proposed algorithm utilizes a short initial data segment to optimize equalizer weight vectors, can make the weight vectors approach the global minimum through a hybrid algorithm fusing chaos optimization algorithm and steepest descent method. The equalizer’s input signals are pretreated by using orthogonal wavelet transform to reduce the auto-correlation and improve the convergence speed. The simulation results in the underwater acoustic channel show that the proposed algorithm has faster convergence speed and higher accuracy and smaller residual mean square error.
Published Version
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