Optimized extraction of coherent arrivals from ambient noise correlations in a rapidly fluctuating medium, with an application to passive acoustic tomography

2015 ◽  
Vol 138 (3) ◽  
pp. 1763-1763
Author(s):  
Katherine F. Woolfe ◽  
Karim G. Sabra ◽  
William A. Kuperman
Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5391
Author(s):  
Fan Yin ◽  
Chao Li ◽  
Haibin Wang ◽  
Fan Yang

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.


2005 ◽  
Vol 118 (3) ◽  
pp. 1845-1845
Author(s):  
Peter Gerstoft ◽  
Karim Sabra ◽  
Phillippe Roux ◽  
W. A. Kuperman ◽  
William S. Hodgkiss

2013 ◽  
Vol 134 (5) ◽  
pp. 3983-3983
Author(s):  
Katherine F. Woolfe ◽  
Shane Lani ◽  
Karim G. Sabra

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5353
Author(s):  
Guillermo Lara ◽  
Ramón Miralles ◽  
Manuel Bou-Cabo ◽  
José Antonio Esteban ◽  
Víctor Espinosa

Passive acoustic monitoring systems allow for non-invasive monitoring of underwater species and anthropogenic noise. One of these systems has been developed keeping in mind the need to create a user-friendly tool to obtain the ambient noise indicators, while at the same time providing a powerful tool for marine scientists and biologists to progress in studying the effect of human activities on species and ecosystems. The device is based on a low-power processor with ad-hoc electronics, ensuring that the system has efficient energy management, and that the storage capacity is large enough to allow deployments for long periods. An application is presented using data from an acoustic campaign done in 2018 at El Gorguel (Cartagena, Spain). The results show a good agreement between theoretical maps created using AIS data and the ambient noise level indicators measured in the frequency bands of 63 Hz and 125 Hz specified in the directive 11 of the EU Marine Strategy Framework Directive. Using a 2D representation, these ambient noise indicators have enabled repetitive events and daily variations in boat traffic to be identified. The ship noise registered can also be used to track ships by using the acoustic signatures of the engine propellers’ noise.


2010 ◽  
Vol 127 (3) ◽  
pp. 1974-1974
Author(s):  
Charlotte Leroy ◽  
Karim G. Sabra ◽  
Philippe Roux ◽  
William Kuperman ◽  
William Hodgkiss ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Madan M. Mahanty ◽  
G. Latha ◽  
R. Venkatesan ◽  
M. Ravichandran ◽  
M. A. Atmanand ◽  
...  

Abstract Over a 4-year period between 2015 and 2019, in-situ time series measurements of ocean ambient noise over the frequency range 100 Hz to 10 kHz, by an autonomous passive acoustic monitoring system have been made in the Kongsfjorden, Svalbard, Arctic. We characterize the noise due to sea ice melting during winter (December–January). This unique observation reveals loud noise signatures, of the order of 8 dB higher than the background noise, showing the signature of sea ice melting. Such observations are crucial for monitoring sea ice melting, especially during winter, to understand the recent warming of Arctic waters. The anomalous air temperature due to local atmospheric forcing and warming of ocean temperature in the fjord through ocean tunneling, individually or combinedly, is responsible for such sea ice melting. The cyclonic events in the Arctic are responsible for the anomalous atmospheric and ocean conditions, causing sea ice melting in winter.


2011 ◽  
Vol 129 (2) ◽  
pp. 662-669 ◽  
Author(s):  
Jessica Ward ◽  
Susan Jarvis ◽  
David Moretti ◽  
Ronald Morrissey ◽  
Nancy DiMarzio ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document