Statistical analysis of the jointly-optimized acoustic echo cancellation BF-AEC structure

Maruo, Marcos H.; Bermudez, J.C.M.; Resende, L.S.

doi:10.1109/icassp.2013.6638784

Cited by 3 publications

(3 citation statements)

References 20 publications

(30 reference statements)

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“…A stochastic model has been derived using the power transfer function method for the case of a fixed BF, where just the AEC is adapted. More recently, the transient behavior of a system where a direct-form BF and an AEC are jointly adapted using equal and fixed step-sizes was analyzed in [17], [18]. The derived analytical model was shown to accurately predict the adaptive system behavior and corroborated previous experimental findings that the same cancellation performance of a single-microphone AEC can be achieved with a shorter AEC when the possibility of spatial filtering is available [35].…”

Section: Introductionsupporting

confidence: 56%

“…This work extends the analysis in [17], [18] to the study of the transient behavior of the jointly optimized BF-AEC structure in the GSC form. We formulate the joint optimization as a single constrained optimization problem, what simplifies the statistical analysis.…”

Section: Introductionsupporting

confidence: 53%

“…Optimization of BF-assisted acoustic echo cancellation systems can be based on different performance surfaces, depending on how the BF and the AEC are optimized. One may define the beamformer performance surface from its own local error [12] or use a joint optimization scheme [14], [17] in which the global cancellation error is used to jointly optimize the BF and the AEC. The joint optimization scheme was first proposed in [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical Analysis of a Jointly Optimized Beamformer-Assisted Acoustic Echo Canceler

Maruo

Bermudez

Resende

2014

IEEE Trans. Signal Process.

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This work presents a statistical analysis of a class of jointly optimized beamformer-assisted acoustic echo cancelers (AEC) with the beamformer (BF) implemented in the Generalized Sidelobe Canceler (GSC) form and using the least-mean square (LMS) algorithm. The analysis considers the possibility of independent convergence control for the BF and the AEC. The resulting models permit the study of system performance under typical handling of double-talk and channel changes. We show that the joint optimization of the BF-AEC is equivalent to a linearly-constrained minimum variance problem. Hence, the derived analytical model can be used to predict the transient performance of general adaptive wideband beamformers. We study the transient and steady-state behaviors of the residual mean echo power for stationary Gaussian inputs. A convergence analysis leads to stability bounds for the step-size matrix and design guidelines are derived from the analytical models. Monte Carlo simulations illustrate the accuracy of the theoretical models and the applicability of the proposed design guidelines. Examples include operation under mild degrees of nonstationarity. Finally, we show how a high convergence rate can be achieved using a quasi-Newton adaptation scheme in which the step-size matrix is designed to whiten the combined input vector.Index Terms-Acoustic echo cancellation, adaptive filtering, beamforming, generalized sidelobe canceller, statistical analysis

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Section: Introductionsupporting

confidence: 56%

Section: Introductionsupporting

confidence: 53%