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http://dx.doi.org/10.5139/JKSAS.2018.46.12.975

Flight Path Measurement of Drones Using Microphone Array and Performance Improvement Method Using Unscented Kalman Filter  

Lee, Jiwon (Department of Aerospace Engineering, Chungnam National University)
Go, Yeong-Ju (Department of Aerospace Engineering, Chungnam National University)
Kim, Seungkeum (Department of Aerospace Engineering, Chungnam National University)
Choi, Jong-Soo (Department of Aerospace Engineering, Chungnam National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.46, no.12, 2018 , pp. 975-985 More about this Journal
Abstract
The drones have been developed for military purposes and are now used in many fields such as logistics, communications, agriculture, disaster, defense and media. As the range of use of drones increases, cases of abuse of drones are increasing. It is necessary to develop anti-drone technology to detect the position of unwanted drones using the physical phenomena that occur when the drones fly. In this paper, we estimate the DOA(direction of arrival) of the drone by using the acoustic signal generated when the drone is flying. In addition, the dynamics model of the drones was applied to the unscented kalman filter to improve the microphone array detection performance and reduce the error of the position estimation. Through simulation, the drone detection performance was predicted and verified through experiments.
Keywords
Drone Detection; Microphone Array; Unscented Kalman Filter; Acoustic Source Position Tracking;
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