Spectral analysis classification sonars
| dc.contributor.author | de Roos, Dolf | en |
| dc.date.accessioned | 2011-09-30T01:57:31Z | |
| dc.date.available | 2011-09-30T01:57:31Z | |
| dc.date.issued | 1986 | en |
| dc.description.abstract | Sonar target classification based on frequency-domain echo analysis is investigated. Conventional pulsed sonars are compared with continuous transmission frequency modulated (CTFM) sonars, and differences relating to target classification are discussed. A practical technique is introduced which eliminates the blind time inherent in CTFM technology. The value and implications of modelling underwater sonars in air are discussed and illustrated. The relative merits of auditory, visual and computer analysis of echoes are examined, and the effects of using two or more analysis methods simultaneously are investigated. Various statistical techniques for detecting and classifying targets are explored. It is seen that with present hardware limitations, a two-stage echo analysis approach offers the most efficient means of target classification. A novel design for three-section quarter-wavelength transducers is presented and evaluated. Their inherently flat frequency response makes these transducers well suited to broadband applications. The design philosophy and construction details of a Diver's Sonar and an underwater Classification Sonar are given. Sea trials reveal that using the Diver's Sonar, a blind-folded diver can successfully navigate in an unknown environment, and locate and classify targets; using the Classification Sonar, targets may be located and classified using either operators or computer software. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/5575 | |
| dc.identifier.uri | http://dx.doi.org/10.26021/2534 | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury. Electrical Engineering | en |
| dc.relation.isreferencedby | NZCU | en |
| dc.rights | Copyright Dolf de Roos | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | en |
| dc.title | Spectral analysis classification sonars | en |
| dc.type | Theses / Dissertations | |
| thesis.degree.discipline | Electrical Engineering | en |
| thesis.degree.grantor | University of Canterbury | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |
| uc.bibnumber | 208544 | en |
| uc.college | Faculty of Engineering | en |
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