Work

Edge computing applications: using a linear MEMS microphone array for UAV position detection through sound source localization

Year: 2024

Type: conference-paper

Abstract: This study explores the use of a microphone array to determine the position of an unmanned aerial vehicle (UAV) based solely on the sound of its engines. The accuracy of localization depends crucially on the arrangement of the microphones. The study also considers a mathematical model of pulse density modulation for a digital MEMS microphone. It demonstrates the frequency dependence of the efficiency of a differential array of first-order microphones. Based on this frequency dependence of directivity and the instability model of the microphone parameters, a rational operating frequency range for the normal functioning of the microphone array can be established. The study proposes a model of a linear microphone array based on MEMS omnidirectional microphones. With a specific geometrical arrangement, this array produces a bidirectional pattern, which can be easily transformed into a unidirectional pattern using specialized algorithms or hardware (e.g., ADAU1761 codecs).

Source: Edge Computing Workshop (doors)

DOI: 10.55056/ceur-ws.org/vol-3666/paper02.pdf

Authors: Andrii V. Riabko, Tetiana A. Vakaliuk, Oksana V. Zaika, Roman P. Kukharchuk, Valerii V. Kontsedailo

Institution: Oleksandr Dovzhenko Hlukhiv National Pedagogical University

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W7166100652

FWCI:

Cites: 17

Cited by:

Related to: 10