变正则化参数的增量式子带自适应滤波算法
Electronic Measurement Technology（2019）
Abstract
为了解决定步长带来的快收敛速度和低稳态误差的折中问题,本文提出了一种变正则化参数的增量式归一化子带自适应滤波算法,其中变正则化参数是通过最小化后验子带误差信号的方差获得.同时对于先验子带误差信号的方差估计,本算法提出采用均方偏差(MSD)分析方法.相比于传统的滑动平均方式,该方法获得更好的估计性能.而且,本文证明了所提算法在均方意义上是收敛的.通过系统辨识和回声消除仿真实验,本文表明和现有增量式算法相比,所提算法在收敛速度和稳态误差方面具有优越性.
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