Maximum versoria criterion applied to hybrid active noise control algorithm for the impulsive noise

• Published in: Journal of low frequency noise, vibration, and active control Vol. 42; no. 4; pp. 1743 - 1764
• Main Authors: Zhang, Rui, Cheng, Yabing, Chen, Shuming
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.12.2023; Sage Publications Ltd; SAGE Publishing
• Subjects: Active noise control; Algorithms; Attenuation; Control theory; Criteria; Error signals; Exponential functions; Reference signals; hybrid active noise control; FXLMS algorithm; impulsive noise environment; MVC-HANC algorithm
• ISSN: 1461-3484; 2048-4046; 2048-4046
• DOI: 10.1177/14613484231185418

In the conventional hybrid active noise control (CHANC) algorithm, the filtered-x least mean square (FXLMS) algorithm is used in both feedforward and feedback structures. However, the FXLMS algorithm does not process the reference signal and the error signal before updating the weight vector, which leads to the inadequate robustness of the CHANC algorithm in the impulsive noise environment. To solve this problem, the maximum versoria criterion is incorporated into the HANC (MVC-HANC) algorithm in this paper. Firstly, the MVC-HANC algorithm employs a novel nonlinear function to compress the error signal. Secondly, the proposed algorithm uses the modified sigmoid function to constrain the reference signal. To further improve the noise attenuation performance, the MVC-HANC algorithm uses a novel exponential function to adjust the step-size adaptively. Simulation and experiment results demonstrate that the proposed algorithm has the better attenuation performance than the conventional HANC algorithm.