Detection results for a class 1 unmanned aerial vehicle measured with a small microphone array
Geoffrey H. Goldman · The Journal of the Acoustical Society of America · 2015
The Department of Defense is developing low size, weight, power, and cost (SWaP-C) acoustic systems to detect and track small unmanned aerial vehicles (UAV). To support these goals, an analysis of several detection algorithms was performed using acoustic data generated with a class I unmanned aerial vehicle and measured with a small tetrahedral microphone array. The detection algorithms were based upon the peak output power and the coherence factor of several beamforming algorithms. Receiver operation characteristics (ROC) curves were generated using both an energy-based and a Neyman-Pearson-based detection algorithm.