Robust Adaptation Control for Generalized Sidelobe Canceller with Time-Varying Gaussian Source Model

In the generalized sidelobe canceller (GSC), the adaptation control of the adaptive interference canceller (AIC) should be carefully designed to increase the interference suppression and alleviate the target speech distortion. This paper proposes a robust update rule for the AIC based on the assumption that the output of the beamformer follows a time-varying Gaussian distribution. The coefficients of the AIC and the variance of the target speech are updated in an iterative manner under the maximum likelihood criterion. The proposed method is found to inherently contain a speech detection module that adaptively adjusts the update rate of the AIC. Computer simulations under various conditions confirm the robustness and effectiveness of the proposed control rule over the existing methods.