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Article dans une revue

Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Abstract : Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the proposed approach can provide a higher reliability compared with the conventional ones, and is suitable for the constraints of real-time tracking.
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02518933
Contributeur : Caps - Université de Bourgogne <>
Soumis le : mercredi 25 mars 2020 - 15:51:24
Dernière modification le : jeudi 26 mars 2020 - 01:40:45

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Fan Yin, Chao Li, Haibin Wang, Fan Yang. Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods. Sensors, MDPI, 2019, 19 (24), pp.5391. ⟨10.3390/s19245391⟩. ⟨hal-02518933⟩

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