Keywords
antenna, array, mm-wave, software-defined radio, switched beam, espar
Abstract
This dissertation explores design challenges and promising solutions for mm-Wave directional software-defined radio (DSDR) reconfigurable antenna arrays. Current state-of-the-art solutions for DSDR antenna arrays at mm-Wave frequencies are typically limited to one beam, which does not take advantage of the directivity and spatial reusability of mm-Wave bands. Additionally, mm-Wave phased array antennas typically incur large amounts of loss from both commercial and state-of-the-art beam steering methods. In this dissertation, both challenges are addressed and so- lutions are proposed through several novel antenna array designs. The first challenge, designing an array for mm-Wave DSDR communications is achieved through a switched-beam array, capable of establishing full 360◦ and maintaining two simultaneous links. This array is then incorporated into a SDR testbed to test the ability to maintain two simultaneous links using modulated signals. To address the need for more directive antenna beams, which necessitate beam steering, two ad- ditional phased arrays are designed using electronically steerable parasitic array radiator (ESPAR) architecture. The Quasi-Yagi elements from the switched beam array are used to design two ES- PAR arrays, one where the elements are coupled in the E-plane and one where they are coupled in the H-plane. Both designs are able to achieve beam steering while bypassing losses that would be incurred in traditional beam steering.
Completion Date
2025
Semester
Fall
Committee Chair
Xun Gong
Degree
Doctor of Philosophy (Ph.D.)
College
College of Engineering and Computer Science
Department
Electrical and Computer Engineering
Format
Identifier
DP0029818
Document Type
Thesis
Campus Location
Orlando (Main) Campus
STARS Citation
Velazquez, Ectis Jr, "Reconfigurable Antenna Arrays For Mm-Wave Directional Software-Defined Radio Communications" (2025). Graduate Thesis and Dissertation post-2024. 509.
https://stars.library.ucf.edu/etd2024/509