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Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms (STREAM)

Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms (STREAM)
未来自主海洋平台的亚太赫兹环境雷达传感 (STREAM)
批准号:
2458650
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
This PhD will complement the 3.5 year STREAM project, a £1.5M EPSRC funded collaboration between the University of St Andrews and the University of Birmingham. STREAM aims to develop advanced sub-THz radar systems that will enable true autonomy for marine systems, by providing situational awareness in a dynamic sea environment and obscuring conditionsResearch on autonomous ground vehicles, guided by various sensors (lidar, acoustic, radar), has existed for many decades and the technology is now relatively mature. In contrast, research in autonomous operation in the marine environment is less mature but evolving rapidly. The key enabler will be the role of advanced electronics to provide vessels with full intelligence to facilitate autonomous operation with sensing and processing capabilities superior to those of a human.The requirements for sensing capabilities to provide situational awareness to small and medium vessels in the dynamic marine environment include (i) maintaining safety of the boat and humans and animals in the water which requires the robust all-weather day/night detection and classification of objects in the water and (ii) adaptive path planning which requires wave profiling of the local sea surface and the detection of hazardous large waves. We assert that the key sensor modality to satisfy these requirements is novel sub-THz radar operating in the 140-340 GHz frequency spectrum. Sub-THz radar offers the advantages of a very high-resolution sensing with very compact sensors and the ability to penetrate obscuring conditions. Such radars will be able to measure a range of parameters from the sea surface and objects within it including range, cross-range, bulk Doppler, micro-Doppler and radar cross section (RCS). This information can then be processed to detect, track and classify objects in the scene and provide information to decision making tools used in the control of autonomous vessels.During this PhD the candidate will collaborate very closely with the wider research team of colleagues in the Sea Mammal Research Unit at St Andrews and in the Microwave Integrated Systems Laboratory (MISL) at the University of Birmingham, plus our broad range of industrial Project Partners who are supporting the project.The research will focus strongly on the field collection of radar data at maritime locations around the UK during multiple field trips - currently there is an almost complete lack of data on sub-THz properties of the marine environment so a primary aim of the project is to collect extensive data sets. Based on these data sets, research tasks will include: Modelling and analysis of sub-THz sea clutter Modelling and analysis scattering from objects in the sea including sea mammals Modelling and analysis of atmospheric propagation effects in the marine boundary layer Development of signal processing algorithms for detection & tracking Development of image analysis and classification methods Investigation of adaptive waveform design suitable for cognitive radar operation
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固体废物建筑材料的THz-TDS无损检测数据驱动模型构建与方法研究
基于THz光栅指纹波谱和机器学习算法的病原菌无标记快速检测新技 术研究
基于改进的 THz s-SNOM 技术的细菌成像与 识别方法研究
  • 批准号:
    HZY24F030001
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    王洁
  • 依托单位:
基于光子集成芯片的新体制Sub-THz波段超宽带相控阵收发信机及其关键技术研究