Adaptive Algorithms for Active Noise Cancellation Using Time-Varying Convergence Coefficient

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The performance of an ANC system depends on the convergence factor. A suitable value of convergence coefficient is extremely important as it impacts both the speed of convergence and the stability of the adaptive algorithm. Traditionally, in active noise control systems fixed convergence factor is used. In this paper, a novel approach of time-varying convergence factor μ is used and the results are compared with traditional feedforward and feedback noise control systems. This algorithm leads to faster convergence and provides reduced mean-squared error compared to the conventional fixed parameter algorithm.

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Edited by:

K.R. Balasubramanian, S.P. Sivapirakasam and R. Anand

Pages:

2465-2469

Citation:

G. Bharti et al., "Adaptive Algorithms for Active Noise Cancellation Using Time-Varying Convergence Coefficient", Applied Mechanics and Materials, Vols. 592-594, pp. 2465-2469, 2014

Online since:

July 2014

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