Skip to main content
Skip to "About government"
Language selection
Français
Government of Canada /
Gouvernement du Canada
Search
Search the website
Search
Menu
Main
Menu
Jobs and the workplace
Immigration and citizenship
Travel and tourism
Business and industry
Benefits
Health
Taxes
Environment and natural resources
National security and defence
Culture, history and sport
Policing, justice and emergencies
Transport and infrastructure
Canada and the world
Money and finances
Science and innovation
You are here:
Canada.ca
Library and Archives Canada
Services
Services for galleries, libraries, archives and museums (GLAMs)
Theses Canada
Item – Theses Canada
Page Content
Item – Theses Canada
OCLC number
70675600
Author
Sikaneta, Ishuwa C.,1972-
Title
Detection of ground moving objects with synthetic aperture radar.
Degree
Ph. D. -- University of Ottawa, 2004
Publisher
Ottawa : Library and Archives Canada = Bibliothèque et Archives Canada, [2006]
Description
2 microfiches
Notes
Includes bibliographical references.
Abstract
This thesis investigates Ground Moving Target Indication (GMTI) using a multi-aperture Synthetic Aperture Radar (SAR). GMTI relevant methods to process the SAR data collected from a strip-map system are presented. Techniques for mitigation of processing ambiguities are proposed, and a map-drift based automatic focus algorithm for the moving targets is developed. Target detectors based on the multi-channel covariance matrix are presented. Comparisons of the proposed detectors with classical methods, such as Displaced Phase Centre Antenna (DPCA), or Along Track Interferometry (ATI), show increased capability in non-ideal terrain types. By decomposing the complex Wishart probability distribution of the covariance matrix into probability distributions of the eigenvalues and eigenvectors, we derive the receiver operating characteristics (ROCs) of the new detection metrics in ideal terrain. The complete analysis is presented for a two-channel system as well as for special cases of the three-channel system. Finally, since implementation of the Constant False Alarm Rate (CFAR) detectors using the new metrics requires estimation of the local scene parameters, a new parameter estimation method is presented. This parameter estimation technique suggests an extension of the current statistical model of the SAR data; an extension that is also examined.
ISBN
0494017600
9780494017609
Date modified:
2022-09-01