Term of Award

Fall 2023

Degree Name

Master of Science, Electrical Engineering

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


Department of Electrical and Computer Engineering

Committee Chair

Sungkyun Lim

Committee Member 1

Seungmo Kim

Committee Member 2

Fernando Rios-Gutierrez


Growing developments in antenna and radio frequency systems have created a strong incentive for researchers to study and apply electromagnetic (EM)-based solutions to modern defense and biomedical problems. The ability to transmit and receive EM waves using antenna systems has not only increased global connectivity, but also increased the need for innovation in antenna size reduction and development of radar systems.

Size reduction techniques have been extensively studied for antennas after the development of electrically small antennas (ESAs) which follow Chu’s limit. ESAs allow the implementation of antennas with much smaller foot-size than traditional full-sized designed while keeping the same or improved functionality. Applying folds, t-matching, and adding top-loading elements are some of the techniques that allow for the reduction of an antenna’s electrical size, kr. An antenna’s electrical size describes the radius of the sphere that encapsulates an antenna’s physical size. The reduction of this sphere provides insight into how the physical size of the antenna was reduced or altered which then helps us during impedance matching process and minimization of S11. Impedance matching is another key element to ESAs because it allows for the reduction of mismatch loss which allows for optimized performance of antenna.

Radar systems have proven necessary in civilian and military applications because of their uses in human detection and tracking. A frequency modulated continuous wave (FMCW) radar operating at 2.4 GHz is presented in this thesis for surveillance and human tracking. Range, velocity, and direction-of-arrival are tested on human targets using the MATLAB software. Multi-target tracking is also presented demonstrating use in increasingly complex environments.

Research Data and Supplementary Material