Doctoral Dissertations

Yuan Gao

Keywords and Phrases

Millimeter wave imaging; SAR imaging

Abstract

"Microwave and millimeter wave reflectometry and synthetic aperture radar (SAR) imaging techniques have been successfully applied in many applications, such as nondestructive testing and evaluation (NDT&E), security inspection and medical diagnosis. In this dissertation, the feasibility of using microwave and millimeter reflectometry and SAR imaging for burn diagnosis is investigated through both simulations and measurements, with promising results. To correctly model the interaction between electromagnetic waves and skin, the proper knowledge of the complex permittivity of healthy skin is critically important. To this end, the common used measurement methods for in vivo skin complex permittivity are reviewed and analyzed in this study, subsequent to which a more accurate method is proposed and verified. Furthermore, when applying SAR imaging algorithm with handheld or high-frequency imaging systems, the translational position error can lead to significant image quality degradation. A comprehensive approach is proposed for analyzing this problem, resulting in an effective position error compensation method. Although SAR imaging is an effective tool for nondestructive testing and diagnosis, the imaging results only show the reflectivity contrast in a material-under-test, and does not give information about the absolute complex permittivity. Thus, the SAR imaging technique can only be used as a qualitative evaluation tool. To overcome this limitation, a novel approach is proposed to extract complex permittivity from SAR images. The simulation and measurement results show the validity and effectiveness the proposed method. In addition, the proposed method also shows its capability of detecting local inhomogeneity"--Abstract, page iv.

Advisor(s)

Zoughi, R.

Committee Member(s)

Ghasr, Mohammad Tayeb Ahmad, 1980-
Donnell, Kristen M.
Stanley, R. Joe
Beetner, Daryl G.
Semon, Julie A.

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2019

Journal article titles appearing in thesis/dissertation

  • Millimeter wave reflectometry and imaging for noninvasive diagnosis of skin burn injuries
  • Towards accurate and wideband in vivo measurement of skin dielectric properties
  • Effects of and compensation for translational position error in microwave synthetic aperture radar imaging systems
  • Complex permittivity extraction from synthetic aperture radar (SAR) images

Pagination

xiv, 148 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2019 Yuan Gao, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11587

Electronic OCLC #

1119724125

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