2D Imaging of a Drone Using a Millimeter-Wave Fast Chirp MIMO Radar Based on Khatri-Rao Product Virtual Array Processing

K. Ogawa, Masashi Kurosaki, R. Nakamura, H. Hadama
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Abstract

In this paper, we propose a 2D imaging method of a drone using a millimeter wave fast chirp MIMO radar that can estimate distance and direction of arrival (DOA) simultaneously. The accuracy of DOA estimation (angular resolution) depends on the aperture length of antenna array. Therefore, in order to improve the angular resolution, we have applied the Khatri-Rao product virtual array processing which can virtually increase the aperture length of antenna array, and aimed to realize high-resolution 2D imaging of a drone. In order to investigate the effectiveness of our proposal, the measurement experiments were conducted for three types of typical commercial drones (Phantom 3, Matrice 600, Mavic pro). The experimental results showed that our proposal could improve the 2D image of each drone and make it easier to recognize the shape of drone.
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基于Khatri-Rao产品虚拟阵列处理的毫米波快速啁啾MIMO雷达无人机二维成像
本文提出了一种利用毫米波快速啁啾MIMO雷达对无人机进行二维成像的方法,该方法可以同时估计距离和到达方向(DOA)。方位估计(角分辨率)的精度取决于天线阵列的孔径长度。因此,为了提高角度分辨率,我们采用Khatri-Rao产品虚拟阵列处理,虚拟增加天线阵列孔径长度,旨在实现无人机的高分辨率二维成像。为了验证我们的建议的有效性,对三种典型的商用无人机(Phantom 3, matrix 600, Mavic pro)进行了测量实验。实验结果表明,我们的方法可以改善每架无人机的二维图像,使无人机的形状更容易识别。
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