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Acoustic radar employing particle velocity sensors

Abstract

A concept, practical realization and applications of a passive acoustic radar to automatic localization, tracking of sound sources were presented in the paper. The device consist of the new kind of multichannel miniature sound intensity sensors and a group of digital signal processing algorithms. Contrary to active radars, it does not emit the scanning beam but after receiving surroundings sounds it provide information about the directions of incoming acoustical signals. Practical examinations of the sensitivity and accuracy of the developed radar were also presented and discussed. The sensitivity of the realized acoustic radar was examined in free sound field. Several kinds of sound signals were used, such as: pure tone from 125 to 16000 Hz, one third octave band noise in the same frequency range and impulsive sounds. The obtained results for every kind of signal groups were presented and discussed. As results from experiments, in some cases even the small value of the signal to noise ratio was sufficient to localize sound source correctly. A video camera can be pointed automatically to the place the detected acoustical source is localized. Hence, the information about the sound event direction can be used to automatic and remote control of the PTZ (Pan Tilt Zoom) cameras. The automatic and continuous tracking in real time of the selected sound source movement is also possible. The proposed solution can significantly improve the functionality of the traditional surveillance monitoring systems.

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Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
Advances in Multimedia and Network Information System Technologies strony 92 - 103
Language:
English
Publication year:
2010
Bibliographic description:
Kotus J., Czyżewski A.: Acoustic radar employing particle velocity sensors// Advances in Multimedia and Network Information System Technologies/ ed. eds. Ngoc Thanh Nguyen, Aleksander Zgrzywa, Andrzej Czyżewski; Systems Research Institute, Polish Academy of Sciences. Warszawa: Springer, 2010, s.92-103
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-642-14989-4_9
Verified by:
Gdańsk University of Technology

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