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Adaptive Noise Canceling using Convolved Reference Noise Based on Independent Component Analysis

This paper presents adaptive noise canceling(ANC) using convolved reference noise. In many practical ANC applications, the reference noise has channel distortion, which may degrade its performance. If the distortion includes nonminimum-phase parts, the inverse cannot be implemented as a causal filter. Therefore, the conventional ANC system may not provide a satisfactory performance. In this paper, we propose the delayed ANC system to deal with the problem, and derive learning rules for the adaptive FIR and IIR filter coefficients based on independent component analysis(ICA). Simulation results show that the proposed algorithms are adequate for the considered situations.