Fully digital, urban networked staring radar: Simulation and experimentation

Fully digital, urban networked staring radar: Simulation and experimentation
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DOI:
10.1049/rsn2.12499
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发表时间:
2023-11-05
影响因子:
1.7
通讯作者:
Singh,Yeshpal
Singh,Yeshpal
中科院分区:
计算机科学4区
文献类型:
--
作者:
Griffiths,Darren;Jahangir,Mohammed;Singh,Yeshpal

文献摘要

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无人机在所有领域的应用和使用都在不断上升,特别是在民用使用案例中。这种日益增长的威胁需要在城市环境中进行可靠的无人机监视。雷达凭借其在任何天气条件下都能探测到射程内的小目标的能力,是显而易见的候选者。探讨了L波段组网雷达在S无人机目标城市传感中的应用。来自S无人机的小回波重视同步,这是高性能组网雷达的根本关键。从理论和实验上研究了定时误差对组网雷达工作的影响,开发了基于发射机直接信号回波的数据同步处理工具。同时,通过仿真实现了L双基地凝视雷达对无人机的检测,并对其信噪比和检测性能进行了计算和分析。改进的双基地凝视雷达直接信号同步方法对S无人机目标具有与单基地凝视雷达相当的信噪比和定位精度。
The application and uses of drones in all areas are continuously rising, especially in civilian use cases. This increasing threat requires reliable drone surveillance in urban environments. Radar is the obvious candidate with its ability to detect small objects at range, in all weather conditions. The use of an L‐band networked radar for urban sensing of S‐UAS targets is explored. Small echoes from S‐UAS places a premium on synchronisation, which is the fundamental key for high performance networked radar. The effect of timing errors on the operation of the network radar is investigated theoretically and experimentally, and the processing tools for synchronising data based on the direct signal returns of the transmitter are developed. Also, drone detection using bistatic L‐band staring radar is achieved both in simulation and then in real field trials where the SNR and detection performance are computed and analysed. The updated direct signal synchronisation method for bistatic staring radar is shown to provide comparable SNR and positional accuracy for S‐UAS targets as the monostatic staring radar.