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Theoretical and Experimental Analysis of Radar Micro-Doppler Signature Modulated by Rotating Blades of Drones

机译:无人机旋转叶片调节雷达微多普勒签名的理论与实验分析

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摘要

Radar signatures contributed by rotating blades of drones usually refer to the kinematical micro-Doppler phenomenon on spectrograms. Here, theoretical analysis indicates that when sampling time is short enough that this signature becomes instant micro-Doppler signatures with scattering characteristics, appearing as "blade flash" in the time domain and rotor blade modulation (RBM) feature in the spectrum. In an anechoic chamber, we track this instant micro-Doppler signature by using a dynamic measurement system composed of a network analyzer and a high-speed camera to collect high-resolution range profile of a consumer drone, DJI Phantom 3 Vision within S-band, X-band, and Ku-band. The experimental results demonstrate that rotating blades do cause signal fluctuation of "blade flash" and register the RBM feature in the spectrum, and the modulation effects are weak within S-band, strong within X-band, and stronger within Ku-band. This instant micro-Doppler with scattering characteristic establishes a mapping between radar signature and the rotation structure component of the drone and enables us to distinguish a drone from other nonblades objects in the air, especially with little radar observation time.
机译:通过旋转无人机叶片贡献的雷达签名通常是指谱图上的运动微多多普勒现象。这里,理论分析表明,当采样时间短足够短,即该签名成为散射特性的即时微多普勒签名,在频谱中出现在时域和转子叶片调制(RBM)特征中出现的“刀片闪光”。在一个AneChoice室中,我们通过使用由网络分析仪和高速相机组成的动态测量系统来跟踪该瞬间微多普勒签名,以收集消费者无人机的高分辨率范围,DJI Phantom 3 Vision在S频段内,x波段和ku波段。实验结果表明,旋转刀片确实会导致“刀片闪光”的信号波动,并在频谱中注册RBM特征,并且调制效果在S波段内弱,X波段内强,ku波段中的较强。该瞬间微多普勒具有散射特性在雷达签名和无人机的旋转结构部件之间建立映射,使我们能够将无人机与空气中的其他非卷曲物体区分开,尤其是雷达观察时间很小。

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