ELEE Research Component of PhD Qualifier Exam by Lucio De Pra
When: Friday,
May 5, 2023
11:00 AM
-
1:00 PM
Where: Science and Engineering Building 285 Old Westport Road, Dartmouth, MA
Cost: Free
Description: Topic: Exploration of Motion Compensation Techniques in ISAR Imaging
Location: Science & Engineering Building (SENG), Room 212
Zoom Conference Link: https://umassd.zoom.us/j/99590335691 Meeting ID: 995 9033 5691 Passcode: 069225
Abstract:
Current inverse synthetic aperture radar (ISAR) testing techniques for large targets has a need for significantly big spaces. More specifically the testing is done in anechoic chambers. This necessitates a significant cost along with a sizeable testing environment. One way to overcome this issue is to scale everything proportionally. This entails scaling the size of the target at use down and using proportionally higher electromagnetic (Emag) frequencies, since Maxwell’s equations are invariant under dilation transformation. Proof of concept for a scaled down ISAR system has been recently achieved. This allows for an exploration in signal processing techniques which can yield enhanced cross-range resolution ISAR images.
Advisor(s): Dr. Yifei Li, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. David P. Rancour, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Yifei Li at 508.999.8841 or via email at yifei.li@umassd.edu
Location: Science & Engineering Building (SENG), Room 212
Zoom Conference Link: https://umassd.zoom.us/j/99590335691 Meeting ID: 995 9033 5691 Passcode: 069225
Abstract:
Current inverse synthetic aperture radar (ISAR) testing techniques for large targets has a need for significantly big spaces. More specifically the testing is done in anechoic chambers. This necessitates a significant cost along with a sizeable testing environment. One way to overcome this issue is to scale everything proportionally. This entails scaling the size of the target at use down and using proportionally higher electromagnetic (Emag) frequencies, since Maxwell’s equations are invariant under dilation transformation. Proof of concept for a scaled down ISAR system has been recently achieved. This allows for an exploration in signal processing techniques which can yield enhanced cross-range resolution ISAR images.
Advisor(s): Dr. Yifei Li, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. David P. Rancour, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Yifei Li at 508.999.8841 or via email at yifei.li@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