Date of Award
1-1-2019
Document Type
Thesis
Degree Name
M.S.
Department
Electrical Engineering
First Advisor
Matthew J. Rutherford, Ph.D.
Second Advisor
Kimon P. Valavanis, Ph.D.
Keywords
Micro Doppler, Radar, Sense and avoid, Software defined radar, Software defined radio, Unmanned aerial systems
Abstract
Advances in Unmanned Aerial Vehicle (UAV) technology have enabled wider access for the general public leading to more stringent flight regulations, such as the "line of sight" restriction, for hobbyists and commercial applications. Improving sensor technology for Sense And Avoid (SAA) systems is currently a major research area in the unmanned vehicle community. This thesis overviews efforts made to advance intelligent algorithms used to detect, track, and identify commercial UAV targets by enabling rapid prototyping of novel radar techniques such as micro-Doppler radar target identification or cognitive radar. To enable empirical radar signal processing evaluations, an S-Band and X-Band frequency modulated, software-defined radar testbed is designed, implemented, and evaluated with field measurements. The final evaluations provide proof of functionality, performance measurements, and limitations of this testbed and future software-defined radars. The testbed is comprised of open-source software and hardware meant to accelerate the development of a reliable, repeatable, and scalable SAA system for the wide range of new and existing UAVs.
Recommended Citation
Moore, Erik George, "Radar Detection, Tracking and Identification for UAV Sense and Avoid Applications" (2019). Electronic Theses and Dissertations. 1544.
https://digitalcommons.du.edu/etd/1544
Provenance
Recieved from ProQuest
Rights holder
Erik George Moore
File size
211 p.
Copyright date
2019
File format
application/pdf
Language
en
Discipline
Electrical engineering, Aerospace engineering, Electromagnetics