A study on a multichannel active noise canceller by using narrow-band signals
In many fields of active noise control (ANC), the filtered-x least mean squares (LMS) algorithm and its relatives such as MELMS (Multiple Error LMS) are popular ones. In these algorithms, the input signal to the algorithms is the signal filtered by the plant model, which must be identified in advance. As well known, the usage of the filtered signal causes two major problems: the delay introduced to the signal path; the well known eigenvalue spread in the autocorrelation matrix. In this article, the multichannel active noise control is proposed for specific applications such as ventilation equipment and ANC inside cars. The reference signal is decomposed into plural narrow-band signals by estimating each resonant frequency. As this approximation leads to that frequency characteristics of the plant model around vicinity of resonant frequencies are only taken account, there is no need to identify the overall characteristics of the plant model in advance. In the proposed method, lower order adaptive filters are only needed to adjust to the plant model with on-line manner. Finally, it is shown that the proposed method has almost the same performance as the MELMS algorithm with much less computational load.
active noise control multipne error LMS narrow band signal frequency estimation
Norimasa Kudoh Taiki Shibutani Yoshiaki Tadokoro
Dept.of Electrical and computer Eng.Uwanotai 16-1, Tamonoki, Hachinohe-shi, Japan Hachinohe National College of Technology, Toyohashi University of Technology Faculty of Eng.Hibariga
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
5-8
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）