NDLI: An Adaptive Time-Domain Kalman Filtering Approach to Acoustic Feedback Cancellation for Hearing Aids

Content Provider	IET Digital Library
Author	Lu, Caixia Yang, Feiran Yang, Jun
Abstract	The adaptive filtering approach has been widely used for acoustic feedback control in the hearing aids due to its excellent performance. The commonly used adaptive filtering algorithms employ a fixed step-size, which has to compromise between the initial convergence and the steady-state misalignment. Many variable stepsize adaptive algorithms have been proposed to handle this problem. In this paper, we propose a broadband Kalman filter to resolve this problem. The acoustic feedback path is modelled by a first-order Markov model, and the observation equation is constructed using more past data vector. A major issue in the hearing aids is the computational complexity. We thus present a simplified version to reduce the complexity, which bridges between the exact Kalman filter and the affine projection algorithm. The estimation of the process and measurement noise variance is discussed in detail. A two-feedback path model is adopted to improve the algorithm's lack of re-convergence. Simulation results confirm the proposed algorithm clearly outperforms the other variable step-size adaptive filtering approaches.
Starting Page	139
Ending Page	146
Page Count	8
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2019.11.003
Journal	Chinese Journal of Electronics
Publisher Date	2020-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Acoustic Feedback Cancellation Acoustic Feedback Control Acoustic Feedback Path Acoustic Signal Processing Adaptive Filter Adaptive Filtering Approach Adaptive Time-domain Kalman Filtering Approach Affine Projection Algorithm Broadband Kalman Filter Commonly Used Adaptive Filtering Algorithm Computational Complexity Convergence Exact Kalman Filter Feedback Filtering Method in Signal Processing First-order Markov Model Fixed Step-size Hearing Aids Initial Convergence Interpolation And Function Approximation Kalman Filter Least Mean Squares Method Numerical Analysis Signal Processing Theory Steady-state Misalignment Two-feedback-path Model Variable Step-size Variable Stepsize Adaptive Algorithm
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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