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Classification of loaded/unloaded micro-drones using multistatic radar

机译:使用多静态雷达对已装载/未装载微型无人机进行分类

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摘要

Preliminary results on the use of multistatic radar and micro-Doppler analysis to detect and discriminate between micro-drones hovering carrying different payloads are presented. Two suitable features related to the centroid of the micro-Doppler signature have been identified and used to perform classification, investigating also the added benefit of using information from a multistatic radar as opposed to a conventional monostatic system. Very good performance with accuracy above 90% has been demonstrated for the classification of hovering micro-drones.
机译:提出了使用多基地雷达和微多普勒分析检测和区分悬停携带不同有效载荷的微型无人机的初步结果。与微多普勒信号质心有关的两个合适特征已被识别并用于执行分类,还研究了使用多静态雷达提供的信息(与传统的单静态系统相反)带来的额外好处。对于悬停的微型无人机的分类,已经证明了非常好的性能,其准确性超过90%。

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