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May 14, 2026The Journal of the Acoustical Society of America0 citations

Acoustic detection and directional localization of unmanned aerial vehicles using a microphone dome array

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FEFlorian ErnstDSDelf Sachau

Key Points

  • The aim is to develop an effective system for detecting and locally positioning UAVs using passive acoustic methods.
  • Developed a hemispherical microphone array for omnidirectional localization and resolution of elevation ambiguities.
  • Created a signal processing pipeline to detect and track UAVs under varying environmental conditions.
  • Conducted experimental flight tests with UAVs of different sizes in realistic scenarios.
  • The system effectively detected UAVs across diverse environmental conditions.
  • Tracking results showed a significant improvement in directional localization accuracy compared to conventional methods.
  • Demonstrated applicability in surveillance and critical infrastructure protection.

Abstract

The increasing use of Unmanned Aerial Vehicles (UAVs) poses significant challenges to airspace control and the protection of critical infrastructure. In scenarios where optical and radar-based systems are limited or impractical, passive acoustic sensing presents a reliable alternative for UAV detection and localization. This paper presents a system for acoustic UAV detection and direction-of-arrival estimation, based on a hemispherical microphone array. The array’s geometry enables omnidirectional localization while resolving elevation ambiguities typically encountered in planar microphone configurations. A signal processing pipeline is developed to detect and track UAVs across a range of environmental conditions. Experimental flight tests with UAVs of various sizes are conducted to assess the system’s performance in realistic scenarios. Representative tracking results from these tests are presented to demonstrate the applicability of the approach. The system offers potential for applications in surveillance, situational awareness, and the protection of critical infrastructure by enabling accurate passive directional localization of aerial sound sources.

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Cite This Study

Ernst et al. (2025) studied this question.

synapsesocial.com/papers/6a0567d2a550a87e60a1ffb1https://doi.org/10.1121/10.0041347
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