Title
Multichannel Bin-Wise Robust Frequency-Domain Adaptive Filtering and Its Application to Adaptive Beamforming
Abstract
Least-squares error (LSE) or mean-squared error (MSE) optimization criteria lead to adaptive filters that are highly sensitive to impulsive noise. The sensitivity to noise bursts increases with the convergence speed of the adaptation algorithm and limits the performance of signal processing algorithms, especially when fast convergence is required, as for example, in adaptive beamforming for speech and audio signal acquisition or acoustic echo cancellation. In these applications, noise bursts are frequently due to undetected double-talk. In this paper, we present impulsive noise robust multichannel frequency-domain adaptive filters (MC-FDAFs) based on outlier-robust M-estimation using a Newton algorithm and a discrete Newton algorithm, which are especially designed for frequency bin-wise adaptation control. Bin-wise adaptation and control in the frequency-domain enables the application of the outlier-robust MC-FDAFs to a generalized sidelobe canceler (GSC) using an adaptive blocking matrix for speech and audio signal acquisition. It is shown that the improved robustness leads to faster convergence and to higher interference suppression relative to nonrobust adaptation algorithms, especially during periods of strong interference
Year
DOI
Venue
2007
10.1109/TASL.2007.894530
IEEE Transactions on Audio, Speech & Language Processing
Keywords
Field
DocType
Newton method,acoustic signal processing,adaptive filters,array signal processing,audio signal processing,echo suppression,filtering theory,least mean squares methods,matrix algebra,speech processing,acoustic echo cancellation,adaptive beamforming,adaptive blocking matrix,audio signal acquisition,discrete Newton algorithm,frequency bin-wise adaptation control,frequency-domain adaptive filtering,generalized sidelobe canceler,interference suppression,least-squares error optimization,mean-squared error optimization,multichannel bin-wise robust filtering,outlier-robust M-estimation,signal processing algorithms,speech signal,Adaptive filtering,beamforming,doubletalk,frequency domain,generalized sidelobe canceler,microphone array,robust statistics
Noise,Beamforming,Audio signal,Signal processing,Adaptive beamformer,Computer science,Speech recognition,Adaptive filter,Audio signal processing,Burst noise
Journal
Volume
Issue
ISSN
15
4
1558-7916
Citations 
PageRank 
References 
9
0.55
20
Authors
4
Name
Order
Citations
PageRank
W. Herbordt1445.04
Herbert Buchner243540.57
S. Nakamura390.55
W. Kellermann468671.03