Urban surveillance of slow-moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in radar hardware design and optimisation of processing algorithms. To this end, the University of Birmingham (UoB) has set-up a testbed of two L-band staring radars to support performance benchmarking using datasets of target and clutter from realistic urban environment. This testbed is also providing the vehicle to understand how novel radar architectures can enhance radar capabilities. Some of the challenges in installing the radar at the UoB campus are highligted. Detailed benchmarking results are provided from urban monostatic and bistatic field trials that form the basis for performance comparison against future hardware modification. The solution to the challenge of interfacing the radar to the external oscillators is described and stand-alone bench tests with the candidate oscillators are reported. The testbed provides a valuable capability to undertake detailed analysis of performance of Quantum photonic-enabled radar and allows for its comparison with conventional oscillator technology for surveillance of low observable targets in the presence of urban clutter.

中文翻译：

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开发用于城市监控的网络光子凝视雷达测试台

使用雷达对中低空域中的无人机和鸟类等缓慢移动的小型目标进行城市监视提出了重大挑战。在强杂波中检测、定位和识别此类低可观测目标需要雷达硬件设计的创新和处理算法的优化。为此，伯明翰大学 (UoB) 建立了两个 L 波段凝视雷达的测试台，以支持使用来自现实城市环境的目标和杂波数据集进行性能基准测试。该测试平台还提供了车辆来了解新颖的雷达架构如何增强雷达功能。在伦敦大学校园安装雷达的一些挑战受到了高度关注。城市单基地和双基地现场试验提供了详细的基准测试结果，这些结果构成了与未来硬件修改进行性能比较的基础。描述了雷达与外部振荡器连接这一挑战的解决方案，并报告了使用候选振荡器进行的独立台架测试。该测试台提供了一种宝贵的功能，可以对量子光子雷达的性能进行详细分析，并可以将其与传统振荡器技术进行比较，以在城市杂乱的情况下监视低可观测目标。