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http://dx.doi.org/10.12673/jant.2020.24.5.393

Drone Location Tracking with Circular Microphone Array by HMM  

Jeong, HyoungChan (Department of Aviation Industry and System Engineering, Inha University)
Lim, WonHo (Department of Aviation Industry and System Engineering, Inha University)
Guo, Junfeng (Department of Electronic Engineering, Inha University)
Ahmad, Isitiaq (Department of Electronic Engineering, Inha University)
Chang, KyungHi (Department of Electronic Engineering, Inha University)
Publication Information
Journal of Advanced Navigation Technology / v.24, no.5, 2020 , pp. 393-407 More about this Journal
Abstract
In order to reduce the threat by illegal unmanned aerial vehicles, a tracking system based on sound was implemented. There are three main points to the drone acoustic tracking method. First, it scans the space through variable beam formation to find a sound source and records the sound using a microphone array. Second, it classifies it into a hidden Markov model (HMM) to find out whether the sound source exists or not, and finally, the sound source is In the case of a drone, a sound source recorded and stored as a tracking reference signal based on an adaptive beam pattern is used. The simulation was performed in both the ideal condition without background noise and interference sound and the non-ideal condition with background noise and interference sound, and evaluated the tracking performance of illegal drones. The drone tracking system designed the criteria for determining the presence or absence of a drone according to the improvement of the search distance performance according to the microphone array performance and the degree of sound pattern matching, and reflected in the design of the speech reading circuit.
Keywords
Beamforming; Scanning; Classification; Tracking; Drone; HMM;
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