基于指数型多延迟误差信号自相关的变步长常模算法

为了进一步提高指数型变步长常数模算法收敛速度,在分析误差信号自相关性的基础上,利用多延迟误差信号的自相关函数来控制步长,提出一种基于指数型多延迟误差信号自相关的变步长常模算法。该算法与无延迟及单位延迟相比,多延迟误差信号的自相关函数可以为训练轨迹提供简单且更为准确的信息,使得算法的收敛速度更快,同时使收敛过程更加平滑稳定。水声信道仿真实验进一步说明了该算法在收敛速度上的优越性。

Variable step-size constant modulus algorithm based on exponential multi-delay error signal autocorrelation

In order to further improve the convergence speed of the exponential variable step-size constant module algorithm, a variable step-size constant module algorithm based on the exponential multi-delay error signal autocorrelation was proposed on the basis of the analysis of the error signal autocorrelation, and the multi-delay error signal autocorrelation functions were adopted to control the steps. Compared with the non-delay and unit delay, the multi-delay error signal autocorrelation of the algorithm can provide simpler and more accurate information for training trajectory, so the algorithm converges faster, and the convergence process is smoother and more stable. The underwater acoustic channel simulation experiments further verify the advantage of the algorithm in the convergence speed.