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Acoustic Source Localization in Wireless Sensor Network
Circuits, Systems and Signal Processing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zoran Saric +2 more
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Sparse Bayesian Learning for Acoustic Source Localization
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021The localization of acoustic sources is a parameter estimation problem where the parameters of interest are the direction of arrivals (DOAs). The DOA estimation problem can be formulated as a sparse parameter estimation problem and solved using compressive sensing (CS) methods.
Ruchi Pandey +2 more
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Calibrated acoustic source localization
2008 24th Biennial Symposium on Communications, 2008The localization of speech sources is critical to the proper functioning of many multiple-microphone devices. Presently, localization algorithms rely on the time-differences-of-arrival (TDOA) to extract the source location from the observed cross-correlation measurements, and view other components (non-direct-path) of the impulse responses as ...
Jacek Dmochowski +2 more
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Energy Based Acoustic Source Localization
2003A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic energy decay model that acoustic energy decays inverse of distance square under the conditions that the sound propagates in the free and homogenous space and the targets are pre-
Xiaohong Sheng, Yu Hen Hu
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Broadband acoustic source localization
The Journal of the Acoustical Society of America, 1987This paper examines aspects of matched field processing for locating a broadband source in deep water. Concentration is on nearby sources (within 5 km of a vertical receiving array), on frequencies from 100 to 300 Hz, and on deterministic, simulation “data” only. The noise field has been modeled as Gaussian, uncorrelated, white noise while the acoustic
A. Tolstoy, M. B. Porter
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Distributed acoustic sensing for 2D and 3D acoustic source localization
Optics Letters, 2019Distributed acoustic sensing (DAS) technology based on Rayleigh backscattering is experiencing a rapid development and leading itself into wider applications because of the unique capability of measuring sound and vibrations at all points along the sensing fiber.
Liang Jiajing +7 more
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An Empirical Study of Collaborative Acoustic Source Localization
Journal of Signal Processing Systems, 2008Field biologists use animal sounds to discover the presence of individuals and to study their behavior. Collecting bio-acoustic data has traditionally been a difficult and time-consuming process in which researchers use portable microphones to record sounds while taking notes of their own detailed observations.
Andreas Mantik Ali +8 more
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An Empirical Study of Collaborative Acoustic Source Localization
2007 6th International Symposium on Information Processing in Sensor Networks, 2007Field biologists use animal sounds to discover the presence of individuals and to study their behavior. Collecting bio- acoustic data has traditionally been a difficult and time- consuming process in which researchers use portable microphones to record sounds while taking notes of their own detailed observations.
Andreas M. Ali +5 more
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Distributed underwater acoustic source localization and tracking
2013 Asilomar Conference on Signals, Systems and Computers, 2013We consider the problem of localizing and tracking an acoustic noise source under water using bearing measurements taken from a small collection of acoustic sensors. Nodes must cooperate in order to improve their estimates and overcome significant noise levels and spurious measurements from clutter.
Jun Ye Yu +4 more
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Localization of an acoustic source using smart phones
2013 IEEE 10th Consumer Communications and Networking Conference (CCNC), 2013The problem of determining the position of a sound source using mobile devices such as smart phones is considered in this paper. A novel calibration stage is developed to cancel out the time offsets of the time differences of arrival measurements. Two localization algorithms, one closed-form solution and the other iterative approach, are implemented to
Yue Wang 0022 +4 more
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