From classical approaches to recent advancements: A holistic review of acoustic detection for unmanned aerial vehicles

The application of unmanned aerial vehicles (UAVs) has gained considerable momentum in recent years, with a marked reduction in costs, attracting growing interest from diverse fields. Nevertheless, as their prevalence continues to rise, amateur UAVs operating recklessly at low altitudes have become a serious threat to public safety. As a result, an economically efficient preventive solution is urgently required to identify potential UAV-related threats at an early stage. Acoustic-based detection offers a cost-effective and easily deployable solution on a large scale while also addressing certain limitations of other technologies (such as radar, radio frequency, and visual systems), thus holding considerable research significance. In this work, we review the research developments in acoustic-based UAV detection, highlighting the involved key technologies of UAV acoustic signals, such as signal acquisition, blind source separation, feature extraction and recognition, and sound source localization. A wide range of technical methods and application strategies employed in existing research are thoroughly covered, with an organized analysis of the relevant technological framework, detailing its core principles and representative methods, and comparing their merits and limitations in addressing UAV detection tasks. In addition, the challenges and problems faced by acoustic-based UAV detection are examined, with a discussion of the development paths required to fulfill its anticipated future potential.

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Publication Details

Journal
AIP Advances
Published
2025-12-01
DOI
https://doi.org/10.1063/5.0304975
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
4.99
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article

From classical approaches to recent advancements: A holistic review of acoustic detection for unmanned aerial vehicles

Qinyuan Huang, Xu Lan, Feiyun Sun, Chengyang Kang et al.
1 citations
AIP Advances
UAV Applications and Optimization
4.99
article

From classical approaches to recent advancements: A holistic review of acoustic detection for unmanned aerial vehicles

Qinyuan Huang, Xu Lan, Feiyun Sun, Chengyang Kang, Xiuchen Liang
article en
1 citations

Abstract

The application of unmanned aerial vehicles (UAVs) has gained considerable momentum in recent years, with a marked reduction in costs, attracting growing interest from diverse fields. Nevertheless, as their prevalence continues to rise, amateur UAVs operating recklessly at low altitudes have become a serious threat to public safety. As a result, an economically efficient preventive solution is urgently required to identify potential UAV-related threats at an early stage. Acoustic-based detection offers a cost-effective and easily deployable solution on a large scale while also addressing certain limitations of other technologies (such as radar, radio frequency, and visual systems), thus holding considerable research significance. In this work, we review the research developments in acoustic-based UAV detection, highlighting the involved key technologies of UAV acoustic signals, such as signal acquisition, blind source separation, feature extraction and recognition, and sound source localization. A wide range of technical methods and application strategies employed in existing research are thoroughly covered, with an organized analysis of the relevant technological framework, detailing its core principles and representative methods, and comparing their merits and limitations in addressing UAV detection tasks. In addition, the challenges and problems faced by acoustic-based UAV detection are examined, with a discussion of the development paths required to fulfill its anticipated future potential.

AIP AdvancesVol. 15(12)
Yibin University (CN)
Openalex Percentile: Top 4%
UAV Applications and Optimization
4.99
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