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The influence mechanism of UAV group on the detection performance of air defense radar

机译：UAV组对防空雷达检测性能的影响机制

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This paper investigates the detection performance of densely unmanned aerial vehicle (UAV) group on the air defense radar. The keystone is that multiple UAVs frequently fly in adjacent range resolution cell and usually locate in the same beam cell that inevitably has influence on the angle resolution capability of tradditional radar. Firstly, the monopulse angle estimation of unresolved targets is presented, this is inherently the classic dual source jamming model. Sencondly, to show the merging phenomenon of angle estimation, the probabilty density distribution related to multiple observations and different Swerling targets is given. Finally, a simulation involving parallel, cross and random flight trajectories on the detection performance of radar is given. It is found that when the number of UAV increases, or the spatial distribution of UAVs becomes denser, the probability of measurement merging increases. It is also found that if the beam width of radar increases, or the bandwidth of the radar signal decreases, the probability of measurement merging increases.
机译：本文研究了在防空雷达上密集无人机（UAV）组的检测性能。 Keystone是多个无人机经常在相邻的范围分辨率单元中飞行，并且通常位于相同的光束单元中，该光束电池不可避免地对Tradditional雷达的角度分辨能力产生影响。首先，提出了未解决目标的单脉冲角度估计，这是固有的，是经典双源卡型模型。 Sencondly，为了表示角度估计的合并现象，给出了与多种观察和不同抖动靶有关的概率密度分布。最后，给出了关于雷达检测性能的平行，交叉和随机飞行轨迹的模拟。发现，当UAV的数量增加时，或者无人机的空间分布变得更密集，测量合并的概率增加。还发现，如果雷达的光束宽度增加，或者雷达信号的带宽降低，则测量合并的概率增加。

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