Advanced adaptive mechanisms for active noise control: A technical comparison

Abstract

Noise is a growing problem in our society. It creates unwanted disturbance and needs to be dealt with. Active Noise Control (ANC) is the most effective way today, to cancel noise. ANC has a wide range of applications in common commercial products, various industrial applications and other machinery. ANC takes the use of adaptive filters which are governed by various adaptive algorithms. Adaptive algorithms work on the principle of optimisation. Years of work has led to the development of more efficient algorithms for various conditions which drive the filter to give a better performance. A review of the existing adaptive mechanisms is essential for future research as we need to know the demerits of all the existing adaptive mechanisms in ANC. In this review paper, we have discussed and compared the previous work done on the various algorithms related to ANC. The merits, demerits and practical effectiveness of all the algorithms have been discussed. Basic algorithms like the Least Mean Square (LMS) and Recursive Least Square as well as their variant versions like Normalised LMS, Variable Step Size LMS and Filtered-X LMS have been considered. Numerous works on ANC have been analysed. Finally, conclusions have been drawn with the help of a tabular comparison of the algorithms.