ORAL COMPREHENSIVE EXAM FOR DOCTORAL CANDIDACY BY: John Summerfield
When: Wednesday,
September 28, 2016
1:00 PM
-
3:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: TOPIC: A GEOMETRIC APPROACH TO SAR/BISAR PERFORMANCE ANALYSIS AND FLIGHTPATH SYNTHESIS
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Synthetic aperture radar (SAR) processing is a signal processing technique that emulates a very large antenna aperture by moving a physically small antenna over a much larger spatial distance. The effective aperture is the spatial distance covered by the synthetic aperture platform, and thus flightpath design is critical to system imaging performance. Conventional synthetic aperture imaging systems are monostatic system where the transmitter and receiver are co-located. The field of mathematics known as differential geometry provides a framework for describing curves and surfaces and offers a powerful tool for the analysis and synthesis of bistatic synthetic aperture (BiSAR) flightpaths. A synthetic aperture imaging system like all other imaging systems has limited resolution which is defined by the spatial frequency bandwidth. The system imaging performance can be defined by evaluating the system response to a point target. The point spread function or ambiguity function of a system describes the imaging performance in the spatial frequency domain known as k-space and incorporates widely used performance metrics such as resolution, peak to side lobe ratio and integrated side lobe ratio. The proposed goal is to use differential geometry to study different flightpaths for developing a tool for the analysis and synthesis of bistatic synthetic aperture flightpaths.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Dayalan P. Kasilingam
Committee Members: Dr. John R. Buck and Dr. Paul J. Gendron, Department of Electrical & Computer Engineering, University of Massachusetts Dartmouth; Dr. Dana Fine, Department of Mathematics, University of Massachusetts Dartmouth; Dr. Brian Rigling, Department of Electrical Engineering, Wright State University
*For further information, please contact Dr. Dayalan P. Kasilingam at 508.999.8534, or via email at dkasilingam@umassd.edu.
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Synthetic aperture radar (SAR) processing is a signal processing technique that emulates a very large antenna aperture by moving a physically small antenna over a much larger spatial distance. The effective aperture is the spatial distance covered by the synthetic aperture platform, and thus flightpath design is critical to system imaging performance. Conventional synthetic aperture imaging systems are monostatic system where the transmitter and receiver are co-located. The field of mathematics known as differential geometry provides a framework for describing curves and surfaces and offers a powerful tool for the analysis and synthesis of bistatic synthetic aperture (BiSAR) flightpaths. A synthetic aperture imaging system like all other imaging systems has limited resolution which is defined by the spatial frequency bandwidth. The system imaging performance can be defined by evaluating the system response to a point target. The point spread function or ambiguity function of a system describes the imaging performance in the spatial frequency domain known as k-space and incorporates widely used performance metrics such as resolution, peak to side lobe ratio and integrated side lobe ratio. The proposed goal is to use differential geometry to study different flightpaths for developing a tool for the analysis and synthesis of bistatic synthetic aperture flightpaths.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Dayalan P. Kasilingam
Committee Members: Dr. John R. Buck and Dr. Paul J. Gendron, Department of Electrical & Computer Engineering, University of Massachusetts Dartmouth; Dr. Dana Fine, Department of Mathematics, University of Massachusetts Dartmouth; Dr. Brian Rigling, Department of Electrical Engineering, Wright State University
*For further information, please contact Dr. Dayalan P. Kasilingam at 508.999.8534, or via email at dkasilingam@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering