DocumentCode
16758
Title
Analysis of Two Microphone Method for Feedback Cancellation
Author
Nakagawa, C. Renato C. ; Nordholm, Sven Erik ; Wei-Yong Yan
Author_Institution
Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
Volume
22
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
35
Lastpage
39
Abstract
Acoustic feedback cancellation in hearing aids makes use of adaptive filters to continuously identify and track variations to the feedback path. One of the biggest problems remaining in using adaptive filters for feedback cancellation is the biased estimation of the filter´s coefficients. In order to remove the undesired correlation between the loudspeaker and incoming signal, a recent alternative scheme proposed to employ an additional microphone. This microphone can provide added information to obtain an incoming signal estimate. This estimate is removed from the primary microphone signal to create the error signal which adapts the canceler´s coefficients. This letter provides the theoretical analysis for the two microphone method. It presents analytic expressions showing that the optimal solution is no longer dependent on the signal correlation aforementioned but is now mainly determined by the additional feedback path. Finally, it demonstrates simulation results with the prediction error method in terms of misalignment and maximum gain for a proposed microphone placement. The results show that a more stable solution is obtained with the proposed two microphone approach.
Keywords
acoustic signal processing; adaptive filters; biomedical equipment; feedback; hearing aids; loudspeakers; microphones; acoustic feedback cancellation; adaptive filters; additional feedback path; canceler coefficients; error signal; filter coefficients; hearing aids; incoming signal; loudspeaker; misalignment gain; prediction error method; primary microphone signal; track variations; two microphone method; Acoustics; Correlation; Delays; Ear; Loudspeakers; Microphones; Speech; Acoustic feedback cancellation; bias problem; dual microphone; two microphone;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2014.2345571
Filename
6873235
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