Abstract

Radar systems vary significantly in size, weight, power, and cost (SWaP-C) characteristics with many high SWaP-C models being inaccessible to consumers. Recognizing this, we have engineered an effective but low SWaP-C networked radar system tailored for detecting and tracking unmanned air vehicle (UAV) traffic. Using field-programmable gate arrays (FPGAs), and custom-designed printed circuit boards (PCBs), our system achieves remarkable efficiency without compromising performance. We use patch antennas for our transmitter and in our 4x4 receiver array. With our low SWaP-C system we have successfully concluded outdoor range testing, detecting corner reflector targets at a remarkable 10dB above our noise floor up to a distance of 100m. We have also finished testing and implementation of our angle of arrival (AOA) algorithm, using conjugate field matched (CFM) beamforming, with outdoor testing using both corner reflectors and drones. Combining our range and AOA algorithms we have detected and tracked both a corner reflector and a drone through time and created a 3D plot showing our target's path and location relative to our system. With this we have demonstrated the viability and effectiveness of our low SWaP-C radar for UAV traffic surveillance.

Degree

MS

College and Department

Ira A. Fulton College of Engineering; Electrical and Computer Engineering

Rights

https://lib.byu.edu/about/copyright/

Date Submitted

2024-05-28

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd13227

Keywords

CFM Beamforming, 2D Scanning Phased Array Radar, Low SWaP-C, X-Band

Language

english

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