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This study introduces directional active noise control (ANC) to reduce drone noise pollution. The new framework effectively lowers far-field drone sound, making operations quieter in sensitive areas.

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Area of Science:

  • Acoustics
  • Aerospace Engineering
  • Environmental Science

Background:

  • Drones are increasingly used in various applications, leading to concerns about noise pollution.
  • Existing noise control methods often focus on local suppression, which is not ideal for far-field noise.

Purpose of the Study:

  • To develop and evaluate a directional active noise control (ANC) framework for reducing far-field drone noise.
  • To investigate the effectiveness of a virtual microphone-based ANC algorithm for targeted noise attenuation.

Main Methods:

  • Implementation of a directional ANC framework using a virtual microphone.
  • Deployment of a near-drone microphone array to capture and process sound.
  • Testing the system in a semi-anechoic chamber to measure noise reduction.

Main Results:

  • Achieved an average noise reduction of 4.78 dB in the 1500-2400 Hz frequency band.
  • Demonstrated up to 10 dB noise reduction at specific harmonic frequencies.
  • Validated the effectiveness of the directional ANC approach for far-field noise attenuation.

Conclusions:

  • Directional ANC offers a promising solution for mitigating drone noise pollution.
  • The developed framework can enable quieter drone operations in noise-sensitive environments.
  • Further research can explore real-world applications and scalability.