Title

Implementation of Robust Data Reduction Techniques to Rapid Millimeter Wave Imaging

Presenter Information

Thomas Roth

Department

Electrical and Computer Engineering

Major

Electrical Engineering and Computer Engineering

Research Advisor

Donnell, Kristen M.
Ghasr, Mohammad Tayeb Ahmad, 1980-
Zoughi, R.

Advisor's Department

Electrical and Computer Engineering

Funding Source

United States Army (A14A-T003 STTR Phase I)

Abstract

Millimeter wave imaging systems have found use in many applications related to structural health monitoring in industries including space, aerospace, civil infrastructure, security, and many others. The focus of this project is to design an innovative millimeter wave imaging system capable of real-time and high-resolution (3D) imaging. To achieve the high resolution of these systems, synthetic aperture radar imaging algorithms are employed. This requires a substantial amount of data to be collected which can greatly increase the measurement time. This project will develop a novel millimeter wave (100 GHz or higher) imaging system capable of implementing data reduction techniques such as compressed sensing to reduce measurement time. This requires that portions of the imaging array be randomly and electronically activated. To support these capabilities, specialized antennas (including the imaging array) and supporting circuitry must be designed.

Biography

Thomas Roth is a senior pursuing degrees in electrical engineering and computer engineering. He conducts his research at the Applied Microwave Nondestructive Testing Laboratory. His research is aimed at applying electromagnetic theory to make important measurements for interdisciplinary problems. Thomas has also participated in two internships at Honeywell FM&T in Kansas City, where he worked in the RF Test Equipment and Radar Engineering departments. After graduation, Thomas will work at Sandia National Laboratories before beginning graduate school to continue his studies and research in electrical engineering.

Research Category

Engineering

Presentation Type

Poster Presentation

Document Type

Poster

Award

Engineering poster session, Second place

Location

Upper Atrium/Hall

Presentation Date

15 Apr 2015, 1:00 pm - 3:00 pm

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Apr 15th, 1:00 PM Apr 15th, 3:00 PM

Implementation of Robust Data Reduction Techniques to Rapid Millimeter Wave Imaging

Upper Atrium/Hall

Millimeter wave imaging systems have found use in many applications related to structural health monitoring in industries including space, aerospace, civil infrastructure, security, and many others. The focus of this project is to design an innovative millimeter wave imaging system capable of real-time and high-resolution (3D) imaging. To achieve the high resolution of these systems, synthetic aperture radar imaging algorithms are employed. This requires a substantial amount of data to be collected which can greatly increase the measurement time. This project will develop a novel millimeter wave (100 GHz or higher) imaging system capable of implementing data reduction techniques such as compressed sensing to reduce measurement time. This requires that portions of the imaging array be randomly and electronically activated. To support these capabilities, specialized antennas (including the imaging array) and supporting circuitry must be designed.