IIR进化数字滤波器与其他自适应数字滤波器在多峰曲面上的收敛性比较

M. Abe, M. Kawamata
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引用次数: 13

摘要

比较了IIR进化数字滤波器(IIR- edf)、LMS自适应数字滤波器(LMS- adf)和基于简单遗传算法的自适应数字滤波器(SGA-ADF)在多峰曲面上的收敛性能。在数值算例中,作者使用降阶系统辨识来模拟可能遇到局部最小问题的多峰曲面。实验结果表明,EDF自适应算法能够在这些例子的多峰曲面上搜索到全局最小值,并且具有比其他算法更小的自适应噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of the convergence of IIR evolutionary digital filters and other adaptive digital filters on a multiple-peak surface
This paper demonstrates a comparison of the convergence behavior of the IIR evolutionary digital filter (IIR-EDF), the LMS adaptive digital filter (LMS-ADF) and the adaptive digital filter based on the simple genetic algorithm (SGA-ADF) on a multiple-peak surface. In numerical examples, the authors use a reduced-order system identification to simulate a multiple-peak surface in which local minimum problems can be encountered. The experimental results show that the EDF adaptive algorithm can search the global minimum in the multiple-peak surface of these examples and has a smaller adaptation noise than the other algorithms.
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