A Robust GSC for Microphone Array Using Coherence and Signal-to-Interference Ratio

The generalized sidelobe cancellation (GSC) algorithm is a widely used microphone array speech enhancement method. Compared with the conventional single-channel speech enhancement, microphone array algorithm can effectively utilize the spatial information of the signal to better suppress the noise. The conventional GSC algorithm is prone to cause the desired signal to be cancelled when adaptively removing noise, and also has low robustness when the adaptive filter is updated. This paper presents a new adaptive filter coefficient updating algorithm for GSC. First, the output of the superdirective beamformer (SDB) is used to find the coherence with the original signal, and then the output of the delay-sum beamformer (DSB) and blocking matrix (BM) is used to find the signal-to-interference ratio (SIR) in a certain frequency range. Finally, the obtained coherence and SIR are combined to control the updating of the adaptive noise canceller (ANC). The experimental results show that the proposed algorithm not only further suppresses different noise interferences at different directions, but also has stronger robustness than the conventional GSC algorithm.