DOA Estimation Using Amateur Drones Harmonic Acoustic Signals

摘要

Drone localization plays an important role in anti-drone systems, which are designed for alleviating the threats brought by the illegal use of amateur drones. For the realization of drone localization, in this paper, we consider the problem of the direction-of-arrival (DOA) estimation of amateur drones. After formulating the acoustic signals of amateur drones by a harmonic model, we prove the validity of the multiple signal classification (MUSIC) algorithm under the harmonic model, and utilize it to estimate the DOAs of amateur drones. Further, we integrate this algorithm into a real-life drone tracking platform. Extensive field experimental results show that the drone tracking platform is capable of realizing the DOA estimation of an amateur drone with high accuracy.