Literature DB >> 29604695

Active feedforward noise control and signal tracking of headsets: Electroacoustic analysis and system implementation.

Mingsian R Bai1, Weichi Pan1, Hungyu Chen1.   

Abstract

Active noise control (ANC) of headsets is revisited in this paper. An in-depth electroacoustic analysis of the combined loudspeaker-cavity headset system is conducted on the basis of electro-mechano-acoustical analogous circuits. Model matching of the primary path and the secondary path leads to a feedforward control architecture. The ideal controller sheds some light on the key parameters that affect the noise reduction performance. Filtered-X least-mean-squares algorithm is employed to implement the feedforward controller on a digital signal processor. Since the relative delay of the primary path and the secondary path is crucial to the noise reduction performance, multirate signal processing with polyphase implementation is utilized to minimize the effective analog-digital conversion delay in the secondary path. Ad hoc decimation and interpolation filters are designed in order not to introduce excessive phase delays at the cutoff. Real-time experiments are undertaken to validate the implemented ANC system. Listening tests are also conducted to compare the fixed controller and the adaptive controller in terms of noise reduction and signal tracking performance for three noise types. The results have demonstrated that the fixed feedforward controller achieved satisfactory noise reduction performance and signal tracking quality.

Year:  2018        PMID: 29604695     DOI: 10.1121/1.5027818

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening.

Authors:  Hsiu-Lien Cheng; Ji-Yan Han; Wei-Zhong Zheng; Yen-Fu Cheng; Yuan-Chia Chu; Chia-Mei Lin; Ming-Chang Chiang; Wen-Huei Liao; Ying-Hui Lai
Journal:  Sensors (Basel)       Date:  2022-09-27       Impact factor: 3.847

2.  Ultra-broadband local active noise control with remote acoustic sensing.

Authors:  Tong Xiao; Xiaojun Qiu; Benjamin Halkon
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.