An Acoustic Source Localization Method Using a Drone-Mounted Phased Microphone Array

Currently, the detection of targets using drone-mounted imaging equipment is a very useful technique and being utilized in many areas. In this study, we focus on acoustic signal with drone detecting where sounds occur, unlike image-based detection. We implement system which detects sources above ground by applying phase difference microphone array technique. Localization methods are based beamforming methods. The background self-induced noise that generated when flies reduces signal-to-noise ratio for signals interest, making it difficult to analyze characteristics. Furthermore, strongly correlated noise, propeller rotates, acts as factor degrades source direction arrival estimation performance method. Spectral reduction have been effective reducing adjusting specific frequencies acoustically harsh situations drones always exposed their own noise. Since estimated from method drone’s body frame coordinate system, estimate fusing flight information output navigation system. proposed estimating experimentally validated equipped 32-channel time-synchronized MEMS array. Additionally, verification sound location was limited explosion fireworks. confirm can be detected an error approximately 10 degrees azimuth elevation at distance about 150 m between location.