Target clasification and recognition using underwater acoustic signals

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2005
Yağcı, Tayfun
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Nowadays, fulfillment of the tactical operations in secrecy has great importance for especially subsurface and surface warfare platforms as a result of improvements in weapon technologies. Spreading out of the tactical operations to the larger areas has made discrimination of targets unavoidable. Due to enlargement of the weapon ranges and increasing subtle hostile threats as a result of improving technology, أvisualؤ target detection methods left the stage to the computerized acoustic signature detection and evaluation methods. Despite this, the research projects have not sufficiently addressed in the field of acoustic signature evaluation. This thesis work mainly investigates classification and recognition techniques with TRN / LOFAR signals, which are emitted from surface and subsurface platforms and proposes possible adaptations of existing methods that may give better results if they are used with these signals. Also a detailed comparison has been made about the experimental results with underwater acoustic signals.
Electronic computers.
http://etd.lib.metu.edu.tr/upload/3/12606373/index.pdf
https://hdl.handle.net/11511/15272
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
T. Yağcı, “Target clasification and recognition using underwater acoustic signals,” M.S. - Master of Science, Middle East Technical University, 2005.
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