Adaptive Hammerstein filters for nonlinear and non-minimum phase active noise control systems

被引：3

作者：

Kahaei, MH ^{[1
]}

Eghtedari, M ^{[1
]}

Poshtan, J ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Coll Elect Engn, Tehran 16844, Iran

来源：

PROCEEDINGS OF THE FOURTH IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY | 2004年

关键词：

active noise control; Volterra series; Hammerstein series;

D O I：

10.1109/ISSPIT.2004.1433688

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the adaptive Hammerstein Filtered-X LMS (HFXLWS) filter is introduced and applied to ANC systems. The proposed algorithm is compared to the conventional Filtered-X LMS (FXLMS) algorithm as well as the Volterra Filtered-X LMS (VFXLMS) algorithm in two different experiments; a) a nonminimum phase secondary-path transfer function, and b) a nonlinear primary-path transfer function. Using the simulation results, it is shown that the developed algorithm achieves a lower mean-square error (MSE) with respect to the KYLAE algorithm, and almost a comparable convergence rate and MSE compared to the VFXLMS algorithm, but with a simpler structure.

引用

页码：60 / 63

页数：4

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