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http://dx.doi.org/10.5515/KJKIEES.2019.30.5.389

Efficient Detection of Small Unmanned Aerial Vehicles in Cluttered Environment  

Choi, Jae-Ho (Department of Electrical and Electronic Engineering, Pohang University of Science and Technology)
Kang, Ki-Bong (Department of Electrical and Electronic Engineering, Pohang University of Science and Technology)
Sun, Sun-Gu (Agency of Defence Development)
Lee, Jung-Soo (Agency of Defence Development)
Cho, Byung-Lae (Agency of Defence Development)
Kim, Kyung-Tae (Department of Electrical and Electronic Engineering, Pohang University of Science and Technology)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.5, 2019 , pp. 389-398 More about this Journal
Abstract
In this paper, we propose a method to detect small unmanned aerial vehicles(UAVs) flying in a real-world environment. Small UAV signals are frequently obscured by clutter signals because UAVs usually fly at low altitudes over urban or mountainous terrain. Therefore, to obtain a desirable detection performance, clutter signals must be considered in addition to noise, and thus, a performance analysis of each clutter removal technique is required. The proposed detection process uses clutter removal and pulse integration methods to suppress clutter and noise signals, and then detects small UAVs by utilizing a constant false alarm rate detector. After applying three clutter removal techniques, we analyzed the performance of each technique in detecting small UAVs. Based on experimental data acquired in a real-world outdoor environment, we found it was possible to derive a clutter removal method suitable for the detection of small UAVs.
Keywords
Radar Signal Processing; Target Detection; Constant False Alarm Rate(CFAR); Micro-Doppler;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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