Analysis of two microphone method for feedback cancellation

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 or...

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Main Authors: Nakagawa, C., Nordholm, S., Yan, Wei-Yong
Format: Journal Article
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:http://hdl.handle.net/20.500.11937/20372
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author Nakagawa, C.
Nordholm, S.
Yan, Wei-Yong
author_facet Nakagawa, C.
Nordholm, S.
Yan, Wei-Yong
author_sort Nakagawa, C.
building Curtin Institutional Repository
collection Online Access
description 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. © 2014 IEEE.
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publisher Institute of Electrical and Electronics Engineers Inc.
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spelling curtin-20.500.11937-203722017-09-13T13:50:23Z Analysis of two microphone method for feedback cancellation Nakagawa, C. Nordholm, S. Yan, Wei-Yong 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. © 2014 IEEE. 2015 Journal Article http://hdl.handle.net/20.500.11937/20372 10.1109/LSP.2014.2345571 Institute of Electrical and Electronics Engineers Inc. restricted
spellingShingle Nakagawa, C.
Nordholm, S.
Yan, Wei-Yong
Analysis of two microphone method for feedback cancellation
title Analysis of two microphone method for feedback cancellation
title_full Analysis of two microphone method for feedback cancellation
title_fullStr Analysis of two microphone method for feedback cancellation
title_full_unstemmed Analysis of two microphone method for feedback cancellation
title_short Analysis of two microphone method for feedback cancellation
title_sort analysis of two microphone method for feedback cancellation
url http://hdl.handle.net/20.500.11937/20372