A new two stage FxNLMS algorithm based ANC system with secondary path modelling was proposed in [15].Performance analysis of this system with real signals has been carried out using computer simulation. Simulation studies showed that the system after trained with WGN can be successfully used for reducing wide sense broad band noise.This paper also explores the intelligibility of speech signals in the quiet zone created by the ANC system. The utterances of phonetically balanced Harvard sentences with different SNRs are propagated through the quiet zone and the intelligibility of the resultant speech signal is measured using MOS (Mean Opinion Score) test. Encouraging results are obtained which indicates that the two stage FxNLMS algorithm based ANC system can find application in mobile phone communication.
Adaptive filter-based feedforward active noise control (ANC) systems are generally realised in system identification configuration. The secondary path of such ANC systems contains numerous subsystems, whose transfer function needs to be compensated for the ANC systems to work satisfactorily. Different methods are available for online modelling of secondary path and realising ANC system using FxLMS algorithm. Simulation of a few such kinds of existing systems is done using white Gaussian noise (WGN) as primary noise and comparing their performances. A new ANC system with online secondary path modelling is proposed and analysed. Simulation study revealed that the proposed ANC system shows superior performance compared to the existing systems in terms of average power reduction of residual noise and converging time when WGN as primary signal.
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