Doctoral Dissertations


Zahra Manzoor


"The goal of this work is to design, prototype and test an innovative millimeter wave imaging system that operates in the frequency range of 33-35 GHz and is capable of producing rapid images of various diverse scenes. In particular, the imaging system includes two main sections, one is related to the hardware design of the system, and the other focuses on the development of a novel comprehensive image reconstruction algorithm. The hardware design includes custom transmitter and receiver sub-systems, and a sparse switched array which was optimized for 320 mm x 220 mm aperture plane, and also included an improved antipodal Vivaldi antenna featuring a substantial reduction in unwanted radiation as the array element. All aspects of the hardware system were simulated, prototyped and tested in this work prior to final system integration. As it relates to the reconstruction algorithm, traditionally bistatic imaging systems utilized an equivalent monostatic imaging algorithm. However, this leads to degradation in image quality. The level of this degradation was analyzed using image error metrics and conditions for minimum image error were obtained. Additionally, a robust amplitude compensated range migration algorithm (AC-RMA) was developed that is applicable for both bistatic and monosatic configurations. The AC-RMA is capable of successfully reconstructing target images independent of the dielectric contrast between the target and background, additive noise power, and bandwidth of the imaging system. In addition, while the formulation of the AC-RMA is more complicated than the traditional (phase compensation only) RMA, the processing time necessary for images created with the AC-RMA is just 1.2 times greater than that of the traditional RMA processing time"--Abstract, page iv.


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

Committee Member(s)

Zoughi, R.
Huang, Jie
He, Xiaoming


Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering


The work was supported in part by the US Department of Defense STTR Phase II project W31P4Q-16-C-002.


Missouri University of Science and Technology

Publication Date

Fall 2019

Journal article titles appearing in thesis/dissertation

  • A sparse Ka-band SAR 1D imaging array using an asymmetric antipodal Vivaldi antenna
  • Image distortion characterization due to equivalent monostatic approximation in near field bistatic SAR imaging
  • A comprehensive bi-static amplitude compensated range migration algorithm (AC-RMA)


xiv, 101 pages

Note about bibliography

Includes bibliographic references.


© 2019 Zahra Manzoor, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11635

Electronic OCLC #