scholarly journals Recurrent networks for direction-of-arrival identification of an acoustic source in a shallow water channel using a vector sensor

2021 ◽  
Vol 150 (1) ◽  
pp. 111-119
Author(s):  
Steven Whitaker ◽  
Andrew Barnard ◽  
George D. Anderson ◽  
Timothy C. Havens
2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Alper Bereketli ◽  
Mehmet B. Guldogan ◽  
Taner Kolcak ◽  
Tamer Gudu ◽  
Ahmet Levent Avsar

We study the performances of several computationally efficient and simple techniques for estimating direction of arrival (DOA) of an underwater acoustic source using a single acoustic vector sensor (AVS) in shallow water. Underwater AVS is a compact device, which consists of one hydrophone and three accelerometers in a packaged form, measuring scalar pressure and three-dimensional acceleration simultaneously at a single position. A very controlled experimental setup is prepared to test how well-known techniques, namely, arctan-based, intensity-based, time domain beamforming, and frequency domain beamforming methods, perform in estimating DOA of a source in different circumstances. Experimental results reveal that for almost all cases beamforming techniques perform best. Moreover, arctan-based method, which is the simplest of all, provides satisfactory results for practical purposes.


2020 ◽  
Vol 89 (sp1) ◽  
pp. 52
Author(s):  
Madan Mohan Mahanty ◽  
Ganeshan Latha ◽  
Pedinta Sesha Sai Ramanujan Sridhar ◽  
Govindan Raguraman

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