Computer Measurement of Biological Sound Source Locations from Four-Hydrophone Array Data

1974 ◽  
Author(s):  
William A. Watkins
Keyword(s):  
Sound Source ◽  
Array Data ◽  
Computer Measurement ◽  
Hydrophone Array

Sound source location by difference of phase, on a hydrophone array with small dimensions

2001 ◽  
Vol 109 (1) ◽  
pp. 430-433 ◽  
Author(s):  
Karsten Brensing ◽  
Katrin Linke ◽  
Dietmar Todt
Keyword(s):  
Sound Source ◽  
Source Location ◽  
Hydrophone Array

scholarly journals Azimuth Tracking of Underwater Moving Sound Source Based on Time Delay Estimation Using Hydrophone Array

2017 ◽  
Vol 170 ◽  
pp. 169-176 ◽  
Author(s):  
Dhany Arifianto ◽  
Wirawan ◽  
B.T. Atmaja ◽  
Tutug Dhanardhono ◽  
Saptian A. Rahman
Keyword(s):  
Time Delay ◽  
Sound Source ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Moving Sound Source ◽  
Hydrophone Array

A BOUNDARY INTEGRAL METHOD FOR ACOUSTIC SOURCE LOCALIZATION IN A WAVEGUIDE WITH INCLUSIONS

1994 ◽  
Vol 02 (02) ◽  
pp. 133-145 ◽  
Author(s):  
YONGZHI XU ◽  
YI YAN
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Boundary Integral ◽  
Boundary Integral Method ◽  
Rigid Boundary ◽  
Matched Field Processing ◽  
Acoustic Source Localization ◽  
Continuous Waves ◽  
Hydrophone Array ◽  
Computation Load

In this paper, we continue our study on combining the matched field processing with the boundary integral equation (BIE) method of scattering theory to solve a sound source localization problem in a shallow ocean with a large inclusion which has a rigid boundary. We consider an enviroment where continuous waves (CW) are produced by a sound source, scattered by the inclusion, and then received by a hydrophone array. The symmetry of the waveguide is destroyed by the existence of the inclusion, and a proper procedure is therefore required to avoid the mismatching. We present a numerical scheme which makes use of the separation of the source and the detection array, and a BIE method. The separation greatly reduces the computation load. The BIE method preserves a certain accuracy on one hand and minimizes arithmetic operations on the other. Some numerical simulations using this scheme are presented.

Investigation of an unusual noise phenomenon with horizontal and vertical hydrophone array data and three‐dimensional propagation modeling.

2008 ◽  
Vol 124 (4) ◽  
pp. 2443-2443
Author(s):  
Georges A. Dossot ◽  
James H. Miller ◽  
Gopu R. Potty ◽  
James F. Lynch ◽  
Arthur E. Newhall ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Array Data ◽  
Propagation Modeling ◽  
Hydrophone Array ◽  
Noise Phenomenon

Role of pinnae and head movements in localizing pure tones 1The authors would like to thank Mr. Remi Humbert for implementing the experiment in Turbo Pascal and for his further assistance.

1999 ◽  
Vol 58 (3) ◽  
pp. 170-179 ◽  
Author(s):  
Barbara S. Muller ◽  
Pierre Bovet
Keyword(s):  
Sound Source ◽  
Head Movement ◽  
Movement Analysis ◽  
Head Movements ◽  
Sound Sources ◽  
Localization Accuracy ◽  
Sound Effects ◽  
Posterior Quadrant ◽  
Localization Performance ◽  
Pure Tones

Twelve blindfolded subjects localized two different pure tones, randomly played by eight sound sources in the horizontal plane. Either subjects could get information supplied by their pinnae (external ear) and their head movements or not. We found that pinnae, as well as head movements, had a marked influence on auditory localization performance with this type of sound. Effects of pinnae and head movements seemed to be additive; the absence of one or the other factor provoked the same loss of localization accuracy and even much the same error pattern. Head movement analysis showed that subjects turn their face towards the emitting sound source, except for sources exactly in the front or exactly in the rear, which are identified by turning the head to both sides. The head movement amplitude increased smoothly as the sound source moved from the anterior to the posterior quadrant.

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