基于误差信号自相关函数的变步长恒模盲均衡算法研究

Research of Variable Step-Size CM Algorithm Based on the Autocorrelation of Error Signal

提出了一种自适应变步长恒模盲均衡算法,利用剩余误差信号的自相关函数估计值作为控制步长的因子来自适应改变步长的大小,克服了恒模算法存在的固有缺陷。理论分析和仿真实验均表明该算法与恒模算法相比,在收敛过程中加快了收敛速度,收敛后又能减小对均衡器参数的误调,具有更小的稳态剩余误差。

A new variable step-size CMA blind equalization algorithm is introduced to conquerthe defects of CMA, in which the step size is controlled by the estimation of error signal＇s autocorrelation. Analysis and simulation results show that the new algorithm provides faster convergence at early stages of iteration and ensures less final misadjustment compared with the CMA.