ECE Master of Science Thesis Defense By: Paul Michael Coble
When: Tuesday,
June 1, 2021
2:00 PM
-
4:00 PM
Where: > See description for location
Cost: Free
Description: Topic: Radar Cross-Section Measurement Using Micro-Photonics
Zoom Teleconference: https://umassd.zoom.us/j/99266030753
Abstract:
Testing RADAR Cross Sections (RCS) has long been an arduous and expensive procedure due to the nature of the size of the objects being tested as well as the required construction of extremely costly anechoic chambers to prevent echoes of the previously broadcast waves from interfering with the radar cross-section being currently measured. There are a few state-of-the-art techniques currently being used to reduce the cost of RADAR cross section measurement, such as Computational Electro-Magnetic Simulation and object scaling. Although anechoic chamber cost and size has been improved in recent history due to the downscaling of the objects, the objects can only be reduced in size by a certain amount and still remain in the radio/microwave domain of the electromagnetic spectrum. This is due to the fact that in order for the radar cross section to be accurate, the wavelength to object feature length relative ratio must be maintained with the intended RADAR that is meant to reference the cross-section. In order to provide a potential solution, this report, with the utilization of Micro-Photonic components to emulate the typical components of a RADAR, presents an explanation of the theory and a proof of concept of a Near Infrared, (NIR), Micro-Photonic Inverse Synthetic Aperture RADAR (ISAR) approach to both RCS measurement and simultaneous down-range measurement magnitude modulation utilizing optical coherence tomography.
NOTE: All ECE Graduate Students are ENCOURAGED to join the zoom teleconference.
All interested parties are invited to join.
Advisor: Dr. Yifei Li
Committee Members: Dr. David A. Brown and Dr. Dayalan P. Kasilingam, Department of Electrical & Computer Engineering; Dr. Tariq Manzur, Naval Undersea Warfare Center (NUWC)
*For further information, please contact Dr. Yifei Li via email at yifei.li@umassd.edu.
Zoom Teleconference: https://umassd.zoom.us/j/99266030753
Abstract:
Testing RADAR Cross Sections (RCS) has long been an arduous and expensive procedure due to the nature of the size of the objects being tested as well as the required construction of extremely costly anechoic chambers to prevent echoes of the previously broadcast waves from interfering with the radar cross-section being currently measured. There are a few state-of-the-art techniques currently being used to reduce the cost of RADAR cross section measurement, such as Computational Electro-Magnetic Simulation and object scaling. Although anechoic chamber cost and size has been improved in recent history due to the downscaling of the objects, the objects can only be reduced in size by a certain amount and still remain in the radio/microwave domain of the electromagnetic spectrum. This is due to the fact that in order for the radar cross section to be accurate, the wavelength to object feature length relative ratio must be maintained with the intended RADAR that is meant to reference the cross-section. In order to provide a potential solution, this report, with the utilization of Micro-Photonic components to emulate the typical components of a RADAR, presents an explanation of the theory and a proof of concept of a Near Infrared, (NIR), Micro-Photonic Inverse Synthetic Aperture RADAR (ISAR) approach to both RCS measurement and simultaneous down-range measurement magnitude modulation utilizing optical coherence tomography.
NOTE: All ECE Graduate Students are ENCOURAGED to join the zoom teleconference.
All interested parties are invited to join.
Advisor: Dr. Yifei Li
Committee Members: Dr. David A. Brown and Dr. Dayalan P. Kasilingam, Department of Electrical & Computer Engineering; Dr. Tariq Manzur, Naval Undersea Warfare Center (NUWC)
*For further information, please contact Dr. Yifei Li via email at yifei.li@umassd.edu.
Contact: > See Description for contact information
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering