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Wavelet Vector Machines Blind Equalization Algorithm Based on Variable Segmentation Error Function

机译:基于变分段误差函数的小波向量机盲均衡算法

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To overcome the disadvantage of constant modulus algorithm's slow convergence and local minimum,this paper presents a wavelet vector machine blind equalization algorithm based on variable segmentation error function.This proposed algorithm uses support vector machine to optimize the initial weight vector,then,it switches to Wavelet Constant Modulus blind equalization Algorithm(WCMA) with odd symmetry variable segmentation error function.The computer simulation with underwater acoustic channel demonstrates that the proposed algorithm has fast convergence rate and small mean square error.
机译:为了克服恒定模量算法缓慢收敛和局部最小值的缺点,本文提出了一种基于变量分割误差函数的小波向量机盲均衡算法。本提出的算法使用支持向量机优化初始权重向量,然后,它切换到小波常数模量盲均衡算法(WCMA)具有奇数对称变量分割误差功能。带有水下声道的计算机模拟演示了所提出的算法具有快速收敛速率和小均方误差。

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