A robust Dual Predictive Line Acoustic Noise Cancellers

This paper proposes a robust adaptive algorithm for adjusting coefficients of an adaptive filter, which is used in active noise canceller (ANC). The filtered LMS algorithm, which is widely used in digital signal processing, is deployed to reduce the effect of acoustic interference in a noisy environment. In this paper the zero noise output of the proposed one and two stages dual predictive line ANC (DPL-ANC) algorithm, which could be deployed in underground communication system, is presented. A second DPL-ANC using voice activity detection (VAD) to control the updated filter coefficients is also proposed. Evaluation results with real-world underground and noisy speech data exhibit significant improvement on the convergence and the zero noise output of both proposed two stages DPL-ANC.