• 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