A New Variable Step Size Algorithm Based Hybrid Active Noise Control System for Gaussian Noise with Impulsive Interference

Noise containing both strong narrowband and broadband components generated by rotating machine occur in many situations where active noise control is desirable. Such noise may be reduced by hybrid active noise control (HANC) methods, as shown in previous work. However, the performance of conventional HANC methods decrease when impulsive interference occurs. To improve the tracking and robustness of such HANC systems, a new hybrid noise control system with anti-pulse variable step size algorithm (APV-HANC) is proposed. By using new variable step size method and HANC structure, the APV-HANC method has better tracking and robustness performance of the whole system when impulsive noise occurs. Theoretical analysis and simulations confirms the superior performance of the proposed method.

[1]  Jinwei Sun,et al.  A new feedforward hybrid active control system for attenuating multi-frequency noise with bursty interference , 2020 .

[2]  Jinwei Sun,et al.  A Novel Adaptive State Detector-Based Post-Filtering Active Control Algorithm for Gaussian Noise Environment with Impulsive Interference , 2019, Applied Sciences.

[3]  M.N.S. Swamy,et al.  A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment , 2019, Applied Acoustics.

[4]  Ming Wu,et al.  A narrowband active noise control system with a frequency estimation algorithm based on parallel adaptive notch filter , 2019, Signal Process..

[5]  Max A. Little,et al.  A Kalman-based fundamental frequency estimation algorithm , 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

[6]  Jinwei Sun,et al.  A new hybrid active noise control system with residual error separation structure , 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

[7]  Liming Shi,et al.  Convex Combination of Adaptive Filters under the Maximum Correntropy Criterion in Impulsive Interference , 2014, IEEE Signal Processing Letters.

[8]  Mads Græsbøll Christensen,et al.  Accurate Estimation of Low Fundamental Frequencies From Real-Valued Measurements , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[9]  Muhammad Tahir Akhtar,et al.  Improving Performance of Hybrid Active Noise Control Systems for Uncorrelated Narrowband Disturbances , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Jing Wang,et al.  A New Feedforward Hybrid Active Noise Control System , 2011, IEEE Signal Processing Letters.

[11]  Lifu Wu,et al.  An Active Impulsive Noise Control Algorithm With Logarithmic Transformation , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[12]  Sen M. Kuo,et al.  Active noise control: Open problems and challenges , 2010, The 2010 International Conference on Green Circuits and Systems.