An efficient method to regularize reference signal for ANC system

Kai Chen, Roshun Paurobally, Jie Pan, Xiaoyan Qiu

Research output: Chapter in Book/Conference paperConference paper

Abstract

In this paper, an improved algorithm for active control of fan noise is proposed. The main idea behind this work is to optimize the components in the reference signal using the information from the unwanted fan noise. In the algorithm, the linear prediction coefficients obtained from the noise is used to build an autoregressive model. Then the model is applied to the reference signal to improve the correlation between the regularized reference signal and the noise. This reference signal regularization (RSR) is carried out automatically by an adaptive autoregressive process. The RSR improves the control performance noticeably. The algorithm has a fast convergence rate and high stability with a tolerant increase in computational complexity. It was implemented to reduce the noise from a real fan on a digital signal processor.
Original languageEnglish
Title of host publicationProceedings of the 21st International Congress on Sound and Vibration 2014, ICSV 2014
Place of PublicationUnited States
PublisherInternational Institute of Acoustics and Vibration
Pages4870-4877
Volume6
ISBN (Print)9781634392389
Publication statusPublished - 2014
Event21st International Congress on Sound and Vibration 2014 - Beijing, China
Duration: 13 Jul 201417 Jul 2014

Conference

Conference21st International Congress on Sound and Vibration 2014
CountryChina
CityBeijing
Period13/07/1417/07/14

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