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Localization of Micro Unmanned Aerial Vehicles using Digital Audio Broadcast Signals

机译:使用数字音频广播信号的微无人驾驶车辆的定位

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Localizing micro unmanned aerial vehicles (MUAV) using passive radar systems makes it possible to counter the threat they pose to critical infrastructure. In this paper, we discuss an efficient signal processing chain for their localization and demonstrate the detection and localization of cooperative MUAVs using a five-element array and Digital Audio Broadcast (DAB) signals. The MUAVs were detected up to their maximum flight distance from the receiver of 2.6 kilometers. By estimating the direction of arrival of the target echoes in addition to the bistatic range and Doppler frequency shift, the MUAVs could be localized with a mean position error below 90 meters.
机译:使用被动雷达系统本地化微型空中航空车辆(MUAV)使得可以对抗它们对关键基础设施构成的威胁来抵消。在本文中,我们讨论了一种有效的信号处理链,用于其本地化,并使用五个元件阵列和数字音频广播(DAB)信号来展示协作MUAV的检测和定位。将悬停在2.6公里的接收器的最大飞行距离中。通过估计目标回波的到达方向之外除了双晶系列和多普勒频率外移之外,可以在90米以下的平均位置误差定位。

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