6533b82bfe1ef96bd128d7e6
RESEARCH PRODUCT
Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods
Fan YangChao LiFan YinHaibin Wangsubject
0209 industrial biotechnologytarget detectingComputer scienceprincipal component analysisAmbient noise levelImage processing02 engineering and technologypassive detectionTracking (particle physics)01 natural sciencesBiochemistrySonarSignaldirection of arrivalArticleAnalytical Chemistry[SPI]Engineering Sciences [physics]020901 industrial engineering & automation[CHIM]Chemical SciencesComputer visionElectrical and Electronic EngineeringInstrumentationSound wave0105 earth and related environmental sciencestemplate matching010505 oceanographybusiness.industryTemplate matchingDirection of arrivalAtomic and Molecular Physics and Opticsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsAzimuthArtificial intelligencebusinesstarget trackingdescription
International audience; 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.
year | journal | country | edition | language |
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2019-12-06 |