NDLI: Buried object detection by auto-regressive pre-whitening

Content Provider	IEEE Xplore Digital Library
Author	Trucco, A. Di Serio, S. Murino, V.
Copyright Year	1999
Description	Author affiliation: Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy (Trucco, A.)
Abstract	An advanced signal processing technique devoted to the detection of buried objects by exploiting an active sonar system is proposed. The technique is based on the modeling of the reverberation phenomenon as an auto-regressive process. The detector consists of an adaptive pre-whitening filter and a bank of matched filters. The auto-regressive parameters are computed by a higher order statistics algorithm that works on short successive reverberation segments. No echoes of the buried target have been used to arrange the matched filters, but only echoes of the target in free water. The proposed technique has been tested with an experimental data set related to a steel cylinder deeply buried in the sea bottom, obtaining impressive results in spite of the very low signal to reverberation ratio. This work was performed owing to the European Commission support, in the context of the contract DEO (Detection of Embedded Objects).
Starting Page	126
Ending Page	132
File Size	480871
Page Count	7
File Format	PDF
ISBN	0780356284
DOI	10.1109/OCEANS.1999.799718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Marine Technology Soc.
Subject Keyword	Buried object detection Object detection Reverberation Matched filters Sonar detection Adaptive signal processing Detectors Adaptive filters Filter bank Higher order statistics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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