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Drone detection by Ku-band battlefield radar

机译:Ku波段战场雷达检测无人机

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The intensive research and development efforts in the area of unmanned aerial vehicles (UAV) detection for security applications is observed in the last decade. The published research results are focused on applications in particular domains (e.g. acoustic, ultrasonic, optical, infrared, radiofrequency...) whereas the probability characteristics for each assumed application evaluation are needed. This paper includes the theoretical analysis of battlefield pulse radar detection probability and range for small UAV. The interdependence between Signal-to-Noise Ratio (SNR) and small UAV Radar Cross Section (RCS) is derived. The results of dynamic flight test series conducted to evaluate the detection performance of three drone size categories by pulse Ku-band short range battlefield radar are presented. Some dependences of the SNR and probability of detection on the drone sizes are determined.
机译:在过去的十年中观察到无人驾驶飞行器(UAV)检测的密集研究和开发努力。已发表的研究结果专注于特定结构域的应用(例如,声学,超声波,光学,红外线,射频......,而需要每个假设的应用评估的概率特性。本文包括战场脉冲雷达检测概率和小无人机范围的理论分析。导出信噪比(SNR)和小UAV雷达横截面(RCS)之间的相互依存。介绍了动态飞行试验系列的结果,以评估脉冲KU频段短程战场雷达三种无人机尺寸类别的检测性能。确定SNR的一些依赖性以及对无人机尺寸的检测概率。

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