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用误差信号峭度定义了平方峭度代价函数 ,提出了盲均衡器权系数更新的最小平方峭度恒模算法 ,该算法更新方程中含有的误差信号峰度因子有效地消除了高斯性误差信号的影响 ,加快了收敛 ,减小了收敛后的均方误差和码间干扰。用负声速梯度水声信道 ,对算法的性能进行了仿真研究。结果表明 :该算法在收敛速度 ,收敛后的均方误差及码间干扰等方面的性能优于常数模算法与最小平均峭度恒模算法。
The square kurtosis cost function is defined by the error signal kurtosis, and the least square kurtosis constant modulus algorithm of updating the weight coefficients of the blind equalizer is proposed. The error signal kurtosis factor contained in the updating equation of the algorithm effectively eliminates the Gaussian error signal , Speeding up the convergence, reducing the mean square error after convergence and intersymbol interference. The negative acoustic velocity gradient acoustic channel is used to simulate the performance of the algorithm. The results show that the performance of the proposed algorithm is better than that of the constant modulus algorithm and the least mean kurtosis constant algorithm in terms of convergence rate, mean square error after convergence and inter-symbol interference.