DocumentCode :
179909
Title :
Statistical analysis of jointly-optimized GSC implementations of beamformer-assisted acoustic echo cancelers
Author :
Maruo, Marcos H. ; Bermudez, Jose C. M. ; Resende, Leonardo S.
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis, Brazil
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
6394
Lastpage :
6398
Abstract :
Beamformer-assisted acoustic echo cancelers have raised a lot of interest lately. The same performance can be obtained with a reduced length acoustic echo canceler (AEC) as the beamformer (BF) performs spatial cancellation. Structures that jointly optimize the BF and the AEC coefficients are preferred in order to exploit synergies. Analytical models have been already derived for the behavior of the direct form implementation of such systems adapted using the constrained least-mean square (CLMS) algorithm. This work extends the analysis to the popular generalized sidelobe canceler (GSC) structure, while allowing for a positive definite step-size matrix. Analytical models are derived for the mean and mean-square behaviors of the adaptive coefficients. Simulation results are shown to be in excellent agreement with the performance predicted by the theory.
Keywords :
adaptive signal processing; array signal processing; echo suppression; least squares approximations; matrix algebra; statistical analysis; AEC coefficients; BF; CLMS algorithm; adaptive GSC beamformer; adaptive coefficients; analytical models; beamformer-assisted acoustic echo cancelers; constrained least-mean square algorithm; generalized sidelobe canceler structure; jointly-optimized GSC; mean-square behaviors; positive definite step-size matrix; reduced length acoustic echo canceler; spatial cancellation; statistical analysis; Echo cancellers; Microphones; Speech; Speech processing; Vectors; Acoustic echo cancellation; adaptive filtering; beamforming; microphone arrays; statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854835
Filename :
6854835
Link To Document :
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