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Title: A robust hybrid feedback active noise cancellation headset
Authors: Song, Ying
Gong, Yu
Kuo, Sen M.
Keywords: Active noise cancellation (ANC)
Feedback control
Filtered-x least-mean-square (FXLMS)
Issue Date: 2005
Publisher: © IEEE
Citation: SONG, Y., GONG, Y. and KUO, S.M., 2005. A robust hybrid feedback active noise cancellation headset. IEEE Transactions on Speech and Audio Processing, 13 (4), pp. 607-617.
Abstract: This paper investigates the robustness of a hybrid analog/digital feedback active noise cancellation (ANC) headset system. The digital ANC systems with the filtered-x least-mean-square (FXLMS) algorithm require accurate estimation of the secondary path for the stability and convergence of the algorithm. This demands a great challenge for the ANC headset design because the secondary path may fluctuate dramatically such as when the user adjusts the position of the ear-cup. In this paper, we analytically show that adding an analog feedback loop into the digital ANC systems can effectively reduce the plant fluctuation, thus achieving a more robust system. The method for designing the analog controller is highlighted. A practical hybrid analog/digital feedback ANC headset has been built and used to conduct experiments, and the experimental results show that the hybrid headset system is more robust under large plant fluctuation, and has achieved satisfactory noise cancellation for both narrowband and broadband noises.
Description: (c) 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Version: Accepted for publication
DOI: 10.1109/TSA.2005.848878
URI: https://dspace.lboro.ac.uk/2134/25679
Publisher Link: http://dx.doi.org/10.1109/TSA.2005.848878
ISSN: 1063-6676
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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