Stochastic boats generated acoustic target signal detection in time-frequency domain

Cheng, ED; Piccardi, M; Jan, T

Stochastic boats generated acoustic target signal detection in time-frequency domain

Cheng, ED Piccardi, M

Jan, T

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004, 2004, pp. 429 - 432
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Cheng, ED	en_US
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604	en_US
dc.contributor.author	Jan, T	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004, 2004, pp. 429 - 432	en_US
dc.identifier.isbn	0780386892	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2810
dc.description.abstract	This paper is devoted to theoretic algorithms development and experimental research of automatic target detection of acoustic signals, especially for boats generated signals. In this paper, an observation space is created by sampling and dividing input analog acoustic signal into multiple frames and each frame is transformed into frequency domain. In the created observation space, a Median Constant False Alarm Rate (MCFAR) and post detection integration algorithms have been proposed for an effective automatic target detection of boat generated acoustic signals, in which a low constant false alarm rate is kept with relative high detection rate. The proposed algorithms have been tested on real boat generated acoustic signals. The statistical analysis and experimental results showed that the proposed algorithm has kept a very low false alarm rate and relatively high detection rate. © 2004 IEEE.	en_US
dc.relation.ispartof	Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004	en_US
dc.title	Stochastic boats generated acoustic target signal detection in time-frequency domain	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Rome, Italy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper is devoted to theoretic algorithms development and experimental research of automatic target detection of acoustic signals, especially for boats generated signals. In this paper, an observation space is created by sampling and dividing input analog acoustic signal into multiple frames and each frame is transformed into frequency domain. In the created observation space, a Median Constant False Alarm Rate (MCFAR) and post detection integration algorithms have been proposed for an effective automatic target detection of boat generated acoustic signals, in which a low constant false alarm rate is kept with relative high detection rate. The proposed algorithms have been tested on real boat generated acoustic signals. The statistical analysis and experimental results showed that the proposed algorithm has kept a very low false alarm rate and relatively high detection rate. © 2004 IEEE.

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http://hdl.handle.net/10453/2810