Master of Science (M.S.)
Degree Granting Department
Robert Bishop, Ph.D.
Jonathan Gaines, Ph.D.
Michael Guinn, M.S.B.E.
DOA, Drone, DSP, FPGA, LabVIEW, Active Shooter
A real time acoustic direction-finding module has been developed to estimate the ele- vation and azimuth of an impulsive event while function aboard a small unmanned air- craft vehicle. The generalized cross-correlation with phase transform method was used to estimate time differences of arrival in an 8 channel microphone array. A linear least squares approach was used to calculate an estimate for the direction of arrival. In order to accomplish this task, a vertical takeoff and landing small unmanned aircraft system was assembled to host the direction finding module. The module itself is made up of an eight-channel synchronous analog-to-digital converter connected to eight lightweight micro electro-mechanical microphones with pre-amplifiers. The data is processed on an embedded system with a field programmable gate array chip and a central processing unit. Noise canceling techniques were employed to address the noise propagating from the propellers under operation. The results from this research show that it is possible to perform direction-finding estimation while aboard an operating small unmanned aircraft vehicle with initial tests showing maximum errors of ± 7°.
Scholar Commons Citation
Olney, Kory, "Acoustic Source Localization with a VTOL sUAV Deployable Module" (2018). Graduate Theses and Dissertations.