Mohammed Jahangir, Darren Griffiths, Daniel White, Gwynfor Donlan, Xiaofei Ren, Jithin Kannanthara, Yeshpal Singh, Joseph P. Wayman, Chris J. Baker, Jon P. Sadler, S. James Reynolds, Michail Antoniou
{"title":"Development of a networked photonic-enabled staring radar testbed for urban surveillance","authors":"Mohammed Jahangir, Darren Griffiths, Daniel White, Gwynfor Donlan, Xiaofei Ren, Jithin Kannanthara, Yeshpal Singh, Joseph P. Wayman, Chris J. Baker, Jon P. Sadler, S. James Reynolds, Michail Antoniou","doi":"10.1049/rsn2.12524","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.12524","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Radar Sonar and Navigation","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/rsn2.12524","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.
使用雷达对中低空移动缓慢的小型目标(如无人机和鸟类)进行城市监视是一项重大挑战。要在强杂波中探测、定位和识别这类低可观测目标,既需要雷达硬件设计的创新,也需要处理算法的优化。为此,伯明翰大学(UoB)建立了一个由两部 L 波段凝视雷达组成的测试平台,利用现实城市环境中的目标和杂波数据集支持性能基准测试。该试验台还为了解新型雷达结构如何增强雷达能力提供了工具。重点介绍了在英国牛津大学校园安装雷达所面临的一些挑战。城市单静态和双静态实地试验提供了详细的基准测试结果,为与未来的硬件改造进行性能比较奠定了基础。介绍了雷达与外部振荡器接口的解决方案,并报告了使用候选振荡器进行的独立台架测试。该试验台为详细分析量子光子雷达的性能提供了宝贵的能力,并可将其与传统振荡器技术进行比较,以监视城市杂波中的低可观测目标。
期刊介绍:
IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications.
Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.