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Updated: Aug 19, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

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Published on: August 27, 2021

Drone noise directivity and psychoacoustic evaluation using a hemispherical microphone array.

Mansour Alkmim¹, João Cardenuto¹, Elisa Tengan²

¹Siemens Digital Industries Software, Interleuvenlaan 68, B-3001 Leuven, Belgium.

The Journal of the Acoustical Society of America

|December 1, 2022

Summary

This summary is machine-generated.

This study presents a new method for measuring quadrotor drone noise using a hemispherical microphone array and spherical harmonic decomposition (SHD). The technique accurately assesses drone noise emission and sound quality from any angle.

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Area of Science:

Acoustics
Aerospace Engineering
Signal Processing

Background:

Quadrotor drones generate significant noise, impacting their usability in various applications.
Accurate characterization of drone acoustic radiation is crucial for noise reduction and sound quality assessment.
Existing methods may not fully capture the complex sound fields radiated by drones.

Purpose of the Study:

To develop and validate an experimental setup for measuring quadrotor drone sound radiation.
To enable the evaluation of acoustic radiation patterns and psychoacoustic metrics at various angles.
To assess the effectiveness of spherical harmonic decomposition (SHD) for representing drone sound fields.

Main Methods:

Utilizing a hemispherical microphone array to capture the drone's sound field.
Decomposing the sound field into spherical harmonics for radiation pattern analysis.
Employing exterior spherical acoustic holography for psychoacoustic metric evaluation.

Main Results:

Spherical harmonic decomposition (SHD) with third-order decomposition showed low distortion, validating its representational adequacy.
The highest noise emission was identified in the 90° azimuth direction.
Estimated psychoacoustic metrics closely matched target metrics, enabling sound quality analysis.

Conclusions:

The proposed experimental setup and SHD method effectively characterize quadrotor drone acoustic radiation.
The approach allows for comprehensive noise emission and psychoacoustic analysis at any external position.
This facilitates targeted noise reduction strategies and improved sound quality for drone applications.