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Determining human target facing orientation using bistatic radar micro-Doppler signals

机译:使用双基地雷达微多普勒信号确定人的目标朝向

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Micro-Doppler radar signals can be used to separate moving human targets from stationary clutter and also to identify and classify human movements. Traditional micro-Doppler radar systems which use a single sensor, monostatic system, suffer from the drawback that only the radial component of the micro-Doppler signal will be observed by the radar operator. This reduces the sensitivity of human activity recognition if the movements are not directly towards or away with respect to the line-of-sight to the radar antenna. In this paper, we propose the use of two bistatic micro-Doppler sensors to overcome this limitation. By using multiple sensors, the orientation of oscillating targets with respect to the radar line-of-sight can be inferred, thereby providing additional information to the radar operator. This approach can be used to infer the facing direction of the human with respect to the radar beam.
机译:微型多普勒雷达信号可用于将移动的人类目标与静止的杂波分开,还可用于识别和分类人类的运动。使用单个传感器,单基地系统的传统微多普勒雷达系统的缺点是,雷达操作员只能观察到微多普勒信号的径向分量。如果运动不是直接朝向或远离雷达天线的视线,则这会降低人类活动识别的灵敏度。在本文中,我们建议使用两个双基地微多普勒传感器来克服这一限制。通过使用多个传感器,可以推断出振荡目标相对于雷达视线的方向,从而为雷达操作员提供了更多信息。此方法可用于推断人类相对于雷达波束的朝向。

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