scholarly journals Source ranging based on frequency band decomposition and distance weighting using a single acoustic vector sensor in shallow water

2015 ◽  
Vol 64 (15) ◽  
pp. 154303
Author(s):  
Zhu Liang-Ming ◽  
Li Feng-Hua ◽  
Sun Mei ◽  
Chen De-Sheng
Keyword(s):  
Shallow Water ◽  
Frequency Band ◽  
Acoustic Vector Sensor ◽  
Vector Sensor ◽  
Distance Weighting

Estimation of Direction of Arrival of Biological Sound using Acoustic Vector Sensor Array in Shallow Water off Chennai

2020 ◽  
Vol 89 (sp1) ◽  
pp. 52
Author(s):  
Madan Mohan Mahanty ◽  
Ganeshan Latha ◽  
Pedinta Sesha Sai Ramanujan Sridhar ◽  
Govindan Raguraman
Keyword(s):  
Shallow Water ◽  
Sensor Array ◽  
Direction Of Arrival ◽  
Acoustic Vector Sensor ◽  
Vector Sensor ◽  
Vector Sensor Array

scholarly journals Experimental Results for Direction of Arrival Estimation with a Single Acoustic Vector Sensor in Shallow Water

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Alper Bereketli ◽  
Mehmet B. Guldogan ◽  
Taner Kolcak ◽  
Tamer Gudu ◽  
Ahmet Levent Avsar
Keyword(s):  
Shallow Water ◽  
Time Domain ◽  
Three Dimensional ◽  
Direction Of Arrival ◽  
Experimental Results ◽  
Computationally Efficient ◽  
Acoustic Source ◽  
Acoustic Vector Sensor ◽  
Vector Sensor ◽  
Almost All

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.

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