• Estimation of cross range dime...

Treffer: Estimation of cross range dimensions from a single beam forward look SONAR

Title:
Estimation of cross range dimensions from a single beam forward look SONAR
Contributors:
Park, Joseph C., Florida Atlantic University (Degree grantor), Cuschieri, Joseph M. (Thesis advisor), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Publisher Information:
Florida Atlantic University
Collection:
FAU Digital Collections (Florida Atlantic University Digital Library)
Subject Terms:
Sonar--Computer simulation, Signal processing--Computer simulation, Underwater acoustics--Computer simulation
Document Type:
Fachzeitschrift text
File Description:
155 p.; application/pdf; Electronic Thesis or Dissertation
Language:
English
Relation:
http://purl.flvc.org/fcla/dt/14501; 14501; FADT14501; fau:11299; https://fau.digital.flvc.org/islandora/object/fau%3A11299/datastream/TN/view/Estimation%20of%20cross%20range%20dimensions%20from%20a%20single%20beam%20forward%20look%20SONAR.jpg
Availability:
http://purl.flvc.org/fcla/dt/14501
https://fau.digital.flvc.org/islandora/object/fau%3A11299/datastream/TN/view/Estimation%20of%20cross%20range%20dimensions%20from%20a%20single%20beam%20forward%20look%20SONAR.jpg
Rights:
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. ; http://rightsstatements.org/vocab/InC/1.0/
Accession Number:
edsbas.5EFD3E1
Database:
BASE

Weitere Informationen

A computer algorithm is developed to provide real-time cross range spatial quantization for a single beam forward look SONAR similar in operation to a typical sidescan SONAR. This involves the computer simulation of return time signals generated by scanning a surface profile. The time signals are normalized with respect to the scanning altitude to simulate the application of a time varying gain, and then are used as input to the surface estimation algorithm. The algorithm requires two time signals acquired from adjacent scanning positions and solves a stereoscopic geometry in arriving at the surface estimate. Final estimates have an error of less than 1% in target height determination within a set range of operation. ; College of Engineering and Computer Science ; FAU Electronic Theses and Dissertations Collection ; Thesis (M.S.E.)--Florida Atlantic University, 1989.