Directional active noise control for drone noise reduction
Drones have become essential tools for applications ranging from aerial surveillance to last-mile delivery, raising concerns about noise pollution in populated environments. This paper presents a directional active noise control (ANC) framework that targets far-field noise reduction, rather than local suppression. A virtual microphone-based ANC algorithm is employed, using a near-drone microphone array to attenuate noise in a specific region. Experiments in a semi-anechoic chamber show an average reduction of 4.78 dB in the 1500-2400 Hz band and up to 10 dB at harmonic frequencies, highlighting the promise of directional ANC for quieter drone operations in sensitive settings.
Authors
- Thushara D. Abhayapala (ORCID: https://orcid.org/0000-0001-6937-7218)
- Yile Zhang (ORCID: https://orcid.org/0009-0004-2425-5750)
- Hanwen Bi (ORCID: https://orcid.org/0009-0003-9258-3812)
- Prasanga N. Samarasinghe (ORCID: https://orcid.org/0000-0002-5589-4203)
Institutions
- Australian National University (AU)
Publication Details
- Journal
- JASA Express Letters
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1121/10.0039953
- Primary Topic
- Advanced Adaptive Filtering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00