Publication Date


Document Type


Committee Members

Michael Bryant (Committee Member), Fred Garber (Committee Member), Brian Rigling (Advisor)

Degree Name

Master of Science in Engineering (MSEgr)


A wide variety of real-world targets emit distinct acoustic signatures that not only distinguish them from one another but also provide spectral separation from background clutter. While acoustic signatures are distinct, they can also be highly variable, even for an individual target, making detection and tracking a challenging problem. This thesis presents a low-cost acoustic array using commercial off-the shelf (COTS) hardware to detect and track multiple small, moving, acoustic targets. It implements a cross-correlation method for calibration, delay-and-sum beamforming, CA-CFAR detection, a discrete Kalman filter for tracking, and nearest neighbor data association. In addition, the array is designed to be adaptable in use, mobile, and reproducible.

Page Count


Department or Program

Department of Electrical Engineering

Year Degree Awarded