Filter selection algorithm of virtual sensing for feedback active noise control system tracking noise variations

This paper proposes a filter selection algorithm of virtual sensing for feedback active noise control system tracking noise variations. The proposed system maintains noise reduction performance by switching to an optimal noise control filter according to variations in noise characteristics. Noise va...

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Bibliographic Details
Published inAcoustical Science and Technology Vol. 46; no. 3; pp. 218 - 226
Main Authors Toyooka, Shota, Iwai, Kenta, Kajikawa, Yoshinobu
Format Journal Article
LanguageEnglish
Published Tokyo ACOUSTICAL SOCIETY OF JAPAN 01.05.2025
Japan Science and Technology Agency
Subjects
Active noise control
Algorithms
Auxiliary filter-based virtual sensing
Bandpass filters
Control systems
Feedback
Feedback ANC system
Noise levels
Noise reduction
Tracking
Virtual sensing
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Summary:This paper proposes a filter selection algorithm of virtual sensing for feedback active noise control system tracking noise variations. The proposed system maintains noise reduction performance by switching to an optimal noise control filter according to variations in noise characteristics. Noise variations are detected using bandpass filters with different frequency responses, and the optimal noise control filter is selected based on these detections. The auxiliary filter in virtual sensing is then re-estimated to track the variation in the noise control filter. Simulation results with actual impulse responses show that the proposed system can maintain a noise reduction of approximately 10 dB even when the noise varies.
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content type line 14
ISSN:1346-3969
1347-5177
DOI:10.1250/ast.e24.103