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Randomized group testing for acoustic source localization

SPIE Proceedings, 2010
Undersea localization requires a computationally expensive partial differential equation simulation to test each candidate hypothesis location via matched filter. We propose a method of batch testing that effectively yields a test sequence output of random combinations of location-specific matched filter correlations, such that the computational run
William Mantzel   +2 more
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Localization of underwater wide band acoustic sources

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
In this work, the signal processing methods are used for determining the direction of arrival of the wideband acoustic signals. The performance of several frequency methods using the incoherent or coherent signal subspace are tested on the experimental data. The temporal method is used with the same data. >
Salah Bourennane, B. Faure
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Ships as sources of opportunity in acoustic source localization

The Journal of the Acoustical Society of America, 2015
Ships, which can be tracked using the Automatic Identification System (AIS), represent underutilized acoustic sources of opportunity (SOP) that can potentially be used to localize unknown sources, invert for environmental parameters, and extract information about the ocean environment such as the local time dependent Green’s Function. An application of
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Introduction to the Special Issue on Acoustic Source Localization

The Journal of the Acoustical Society of America, 2019
Spatial localization based on acoustic observations is a rich field of interest in acoustic signal analysis. This special issue takes a close look at the diverse and growing range of problems in this area and the broad perspectives and methodologies that are presently being developed to solve them. The collection of articles presents recent advances in
Brian, Ferguson   +3 more
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Acoustic Source Localization and Deconvolution-Based Separation

Journal of Computational Acoustics, 2015
This paper examines two fundamental issues in sound field analysis: acoustic sources localization and separation. Algorithms are developed to locate and separate acoustic signals on the basis of plane-wave decomposition. In the localization stage, directions of plane waves are determined using either minimum variance distortionless response (MVDR ...
Bai, Mingsian R., Kuo, Chia-Hao
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An Experimental Wireless Platform for Acoustic Source Localization

2010
The paper gives an overview of various acoustic localization techniques focusing on direction-of-arrival (DOA) based methods. It presents a wireless sensor board, called Octopus, with eight acoustic channels for advanced acoustic source localization based on the DOA algorithms.
Sándor Szilvási, Péter Völgyesi
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Acoustic Source Localization with Distributed Smartphone Arrays

2015 IEEE Global Communications Conference (GLOBECOM), 2014
Acoustic source localization in sensor network is a challenging task because of severe constraints on cost, energy, and effective range of sensor devices. To overcome limitations in existing solutions, this paper formally describes, designs, implements, and evaluates a Hamming Distance-based Method for Acoustic Source Localization, i.e., HammingLoc, in
Jinghong Huang   +8 more
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Detection, Enumeration and Localization of Underwater Acoustic Sources

2019 27th European Signal Processing Conference (EUSIPCO), 2019
The problem of passive detection, enumeration and localization of underwater objects is of great interest in several applications of sonar. Source localization requires prior knowledge of the number of sources. Therefore, detection is followed by estimation of the number of sources, and finally localization.
P. V. Nagesha   +3 more
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Particle swarm localization of acoustic sources in the presence of reverberation

2006 IEEE International Symposium on Circuits and Systems, 2006
In this work a novel approach to acoustic source localization in reverberant environments is introduced. The proposed method effectively employs particle filtering (PF) and particle swarm optimization (PSO) in an integrated framework. Source localization is viewed as a global minimization problem where the solution is searched by properly exploiting ...
PARISI, Raffaele   +2 more
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Acoustic Source Localization With Distributed Asynchronous Microphone Networks

IEEE Transactions on Audio, Speech, and Language Processing, 2013
We propose a method for localizing an acoustic source with distributed microphone networks. Time Differences of Arrival (TDOAs) of signals pertaining the same sensor are estimated through Generalized Cross-Correlation. After a TDOA filtering stage that discards measurements that are potentially unreliable, source localization is performed by minimizing
CANCLINI, ANTONIO   +3 more
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