
Electronic Theses and Dissertations
Date
2025
Document Type
Thesis
Degree Name
Master of Science
Department
Electrical & Computer Engineering
Committee Chair
Eddie Jacobs
Committee Member
Aaron Robinson
Committee Member
Alf Ramirez
Abstract
The work presented in this thesis explores the key design parameters of microphone sensing systems for beamforming, specifically for a stationary uniform rectangular array (URA) and a drone mounted uniform line array (ULA). It explains the development of a custom audio recorder using a Field Programmable Gate Array (FPGA) with Hard Processor System (HPS), using a unique distribution of Linux called NixOS. It details experiments conducted to characterize these systems in controlled environments like a wind tunnel and an anechoic chamber, as well as in the field for real-world testing. It also investigates methods for the autonomous detection of sound sources of interest, including drones and ground vehicles such as tanks and large diesel trucks. The novel detection method monitors the mean and standard deviation of the principal components from an audio spectrogram in real-time. The results of this analysis are presented and discussed, demonstrating how acoustics can enhance various sensing modalities and improve environmental awareness.
Library Comment
Notes
Open access.
Recommended Citation
McKenzie, Kevin, "Acoustic Sensing With Phased Arrays Using Beamforming And Principal Component Analysis" (2025). Electronic Theses and Dissertations. 3775.
https://digitalcommons.memphis.edu/etd/3775
Comments
Data is provided by the student.