Sound source localization based on microphone array mounted on unmanned aerial vehicles

Microphone array installed on unmanned aerial vehicles (UAV) can be used for acoustic detection in scenes, such as detecting noise sources in factories or monitoring corona in power grids. However, using acoustic sensors on UAV has great challenges. The motor rotation of UAV and the non-stationary n...

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Bibliographic Details
Published in:Journal of physics. Conference series 2024-09, Vol.2822 (1), p.12183
Main Authors: Wang, Hongzhao, Guo, Xinhua
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive filters
Algorithms
Flight
Free flight
Localization
Microphones
Noise monitoring
Real time
Sensor arrays
Signal classification
Signal to noise ratio
Sound detecting and ranging
Sound localization
Sound sources
Unmanned aerial vehicles
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Summary:Microphone array installed on unmanned aerial vehicles (UAV) can be used for acoustic detection in scenes, such as detecting noise sources in factories or monitoring corona in power grids. However, using acoustic sensors on UAV has great challenges. The motor rotation of UAV and the non-stationary noise generated by propeller make it difficult for microphone array to obtain useful information for sound source localization. In order to reduce self-noise, an improved least mean square (LMS) adaptive filtering algorithm is proposed. Combining filtering algorithm and multiple signal classification (MUSIC) algorithm to locate the sound source, the noise spectrum characteristics of UAV in outdoor free flight mode are analyzed. The microphone array is used to collect data and realize sound source localization in low Signal-to-Noise Ratio (SNR) environment. The simulation and experimental results show that the algorithm improves the robustness of the sound source localization algorithm in low SNR environment, and realizes the real-time localization of the target sound source during the flight of UAV with microphone array.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2822/1/012183