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http://dx.doi.org/10.17661/jkiiect.2015.8.1.045

Comparison of Adaptive Algorithms for Active Noise Control  

Lee, Keun-Sang (Division of Computer and Communication, Yonsei University)
Park, Young-Cheol (Division of Computer and Communication, Yonsei University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.8, no.1, 2015 , pp. 45-50 More about this Journal
Abstract
In this paper, we confirm the effective adaptive algorithm for tha active noise contorl (ANC) though the performance comparison between adaptive algorithms. Generally, the normalized least mean square (NLMS) algorithm has been widely used for an adaptive algorithm thanks to its simplicity and having a fast convergence speed. However, the convergence performance of the NLMS algorithms is often deteriorated by colored input signals. To overcome this problem, the affine pojection (AP) algorithm that updates the weight vector based on a number of recent input vectors can be used for allowing a higher convergence speed than the NLMS algorithm, but it is computationally complex. Thus, the proper algorithm were determined by the comparison between NLMS and AP algorithms regarding as the convergence performance and complexity. Simulation results confirmed that the noise reduction performance of NLMS algorithm was comparable to AP algorithm with low complexity. Therefore the NLMS algorithm is more effective for ANC system.
Keywords
Active noise control; filtered-x algorithm; normalized least mean square algorithm; affine projection algorithm; performance comparison;
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