Volume 38, Number 5, October 2020
|Page(s)||944 - 951|
|Published online||08 December 2020|
Analyzing Convergence of Distributed FxLMS Algorithm
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
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.
Key words: active noise control / computational complexity / distributed FxLMS algorithm / acoustic sensor networks
关键字 : 有源噪声控制 / 分布式FxLMS / 声传感器网络
© 2020 Journal of Northwestern Polytechnical University. All rights reserved.
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