Detection of Low RCS Unmanned Air Systems Using K-Band Continuous Wave Doppler Radar

Alexandros Kyritsis, R. Makri, N. Uzunoglu
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Abstract

UASs (Unmanned Air Systems) are universally used in many activities, spanning from leisure-commercial to military applications. Accordingly, as the number of UASs operating in the sky increases, so does the need to detect and identify them, in order to ensure their legitimate use. This paper introduces a continuous wave (CW) Doppler radar implementation that can be used to provide early warning for flying-by small UASs. By applying Fast Fourier Transform (FFT) to the returned signal’s Doppler frequency, estimations can be made regarding the presence of aerial bodies inside an Area of Interest (AoI). Achieving reliable detection with a low false alarm rate (FAR) while keeping the size and power demands of the system to minimum was a challenge that was successfully met. The proposed system was extensively tested in outdoor environments; measurement results are presented and parameters such as radar power, antenna gain, and noise are discussed.
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利用k波段连续波多普勒雷达探测低RCS无人机系统
UASs(无人机系统)广泛应用于许多活动,从休闲商业到军事应用。因此,随着空中无人机数量的增加,检测和识别它们的需求也在增加,以确保它们的合法使用。介绍了一种连续波(CW)多普勒雷达实现方案,可用于对小型无人机的飞行进行预警。通过对返回信号的多普勒频率应用快速傅里叶变换(FFT),可以对感兴趣区域(AoI)内的空中物体的存在进行估计。在实现低虚警率(FAR)的可靠检测的同时,将系统的尺寸和功率需求保持在最小,这是一个成功解决的挑战。该系统在室外环境中进行了广泛的测试;给出了测量结果,并对雷达功率、天线增益、噪声等参数进行了讨论。
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