Analyzing Convergence of Distributed FxLMS Algorithm

被引：0

作者：

Wang L. ^{[1
]}

Chen K. ^{[1
]}

Xu J. ^{[1
]}

Tian X. ^{[1
]}

机构：

[1] School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an

来源：

Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2020年 / 38卷 / 05期

关键词：

Acoustic sensor networks; Active noise control; Computational complexity; Distributed FxLMS algorithm;

D O I：

10.1051/jnwpu/20203850944

中图分类号：

学科分类号：

摘要：

The distributed FxLMS algorithm based on acoustic sensor networks can solve the problem of the increased computational complexity caused by a large-scale active noise control (ANC) system. Firstly, the distributed algorithm is deduced theoretically. In the ANC process based on sensor networks, the iteration of partial weight coefficients is replaced by the real-time communication of weight coefficients among nodes. Then the convergence characteristics of the distributed algorithm in its mean and mean square senses are analyzed and verified with simulation. Finally, the noise reduction effects of different algorithms are compared. The results show that the distributed algorithm, with its computational complexity reduced, can achieve the same noise reduction effects as the centralized ANC system. © 2020 Journal of Northwestern Polytechnical University.

引用

页码：944 / 951

页数：7