Trimmed-Mean FxLMS Algorithm for ANC in Impulsive Noise

Dah Chung Chang, Po Wei Chiang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

The filtered-x least mean square (FxLMS) algorithm has been widely used for active noise control (ANC), which has a satisfying convergence performance in the Gaussian noise. Nevertheless, the ANC system can receive an unusual signal contaminated by the impulsive noise (IN) in practical applications, which results in serious convergence performance degradation. Some references can be found discussing this issue, but many of the proposed solutions highly rely on the setup of pre-determined parameters depending on special situations. In this paper, the IN problem is dealt with by some robust algorithms, which are adapted from order statistics. With the new FxLMS algorithms, there is no pre-requisite to determine the parameters as required in the past works. Through simulation results, we show that the proposed method has better average noise reduction convergence performance compared to other robust methods.

原文???core.languages.en_GB???
主出版物標題2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1268-1271
頁數4
ISBN(電子)9789881476852
DOIs
出版狀態已出版 - 4 3月 2019
事件10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
持續時間: 12 11月 201815 11月 2018

出版系列

名字2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
國家/地區United States
城市Honolulu
期間12/11/1815/11/18

指紋

深入研究「Trimmed-Mean FxLMS Algorithm for ANC in Impulsive Noise」主題。共同形成了獨特的指紋。

引用此