Special Issue: ICCAS 2024

International Journal of Control, Automation, and Systems 2025; 23(2): 592-599

https://doi.org/10.1007/s12555-024-0507-y

© The International Journal of Control, Automation, and Systems

Novel Active Noise Control Algorithm Based on Combined Step-size Strategy Against Impulsive Noise

Seung Hyun Ryu, Jeongmin Park, and PooGyeon Park*

POSTECH

Abstract

The study proposes the combined step-size affine projection Champernowne adaptive filter (CSSAPCMAF), addressing the back-and-forth relationship between convergence rate and steady-state misalignment in fixed step-size adaptive filtering algorithms. Additionally, the study introduces a new approach to active noise control using the combined step-size filtered-x affine projection Champernowne adaptive filter (CSS-FxAPCMAF). The emphasis of this research lies in robustness in environments with correlated input and impulsive noise. Simulation results demonstrate that the proposed algorithm can maintain a convergence rate while exhibiting smaller steady-state misalignment compared to existing algorithms, ensuring superior performance.

Keywords Active noise control, affine projection, filtered-x algorithm, impulsive noise.

Article

Special Issue: ICCAS 2024

International Journal of Control, Automation, and Systems 2025; 23(2): 592-599

Published online February 1, 2025 https://doi.org/10.1007/s12555-024-0507-y

Copyright © The International Journal of Control, Automation, and Systems.

Novel Active Noise Control Algorithm Based on Combined Step-size Strategy Against Impulsive Noise

Seung Hyun Ryu, Jeongmin Park, and PooGyeon Park*

POSTECH

Abstract

The study proposes the combined step-size affine projection Champernowne adaptive filter (CSSAPCMAF), addressing the back-and-forth relationship between convergence rate and steady-state misalignment in fixed step-size adaptive filtering algorithms. Additionally, the study introduces a new approach to active noise control using the combined step-size filtered-x affine projection Champernowne adaptive filter (CSS-FxAPCMAF). The emphasis of this research lies in robustness in environments with correlated input and impulsive noise. Simulation results demonstrate that the proposed algorithm can maintain a convergence rate while exhibiting smaller steady-state misalignment compared to existing algorithms, ensuring superior performance.

Keywords: Active noise control, affine projection, filtered-x algorithm, impulsive noise.

IJCAS
February 2025

Vol. 23, No. 2, pp. 359~682

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IJCAS

eISSN 2005-4092
pISSN 1598-6446