Non-Canonical Integral Transforms for Multistatic Synthetic Aperture Radar (SAR) and Video SAR (VSAR) for Target Motion

用于目标运动的多基地合成孔径雷达 (SAR) 和视频 SAR (VSAR) 的非规范积分变换

• 批准号: 2905381
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2905381
• 关键词: Non; Canonical; Integral; Transforms; Multistatic

This PhD will generate and validate innovative algorithms for the formation of images of dynamic scenes from multistatic Synthetic Aperture Radar (SAR), i.e. VSAR. The PhD will be jointly funded by Dstl and an EPSRC iCASE Award. Dstl's Future Sensing Programme (FSP) seeks to drive game-changing and novel Science & Technology (S&T) within the radar field; it develops novel technologies and techniques that could deliver operational advantage and freedom of action in the future. One particular area of interest is the improvement of radar imagery. The majority of monostatic SAR image formation schemes utilise a line integral approach. However elliptical/ellipsoidal, circular and spherical integral transforms can be utilised to mathematically model bi-static/multi-static systems. This, coupled with iterative reconstruction and novel regularisation schemes, will tackle complex scattering phenomenology, resulting in fine resolution images and providing more information about the scene - such as about anisotropic scatterers. This PhD is required to consider SAR image formation of dynamic scenes. In mono- and bi-static SAR, objects moving at a constant speed in the azimuth direction will appear blurred due to the change in position between each radar pulse, while those moving in the radial direction will be focussed but appear displaced in azimuth. Accelerating and manoeuvring objects further add to the complexity. Both theoretical and practical numerical methods will be developed to understand how multi-static and other high-dimensional data can be used to resolve this otherwise ambiguous inverse

该博士学位将生成和验证用于从多基地合成孔径雷达（SAR），即VSAR形成动态场景图像的创新算法。博士学位将由Dstl和EPSRC iCASE奖共同资助。Dstl的未来传感计划（FSP）旨在推动雷达领域的游戏规则改变和新颖的科学技术（S&T）;它开发了新的技术和技术，可以在未来提供操作优势和行动自由。一个特别令人感兴趣的领域是改进雷达图像。大多数单基地合成孔径雷达成像方案利用线积分方法。然而，椭圆/椭球、圆形和球形积分变换可用于对双基地/多基地系统进行数学建模。这与迭代重建和新颖的正则化方案相结合，将解决复杂的散射现象，从而获得高分辨率图像并提供有关场景的更多信息-例如关于各向异性散射体的信息。这个博士学位需要考虑动态场景的SAR图像形成。在单基地和双基地合成孔径雷达中，由于每个雷达脉冲之间的位置变化，在方位角方向上以恒定速度移动的物体将显得模糊，而在径向方向上移动的物体将被聚焦，但在方位角方向上看起来有位移。加速和操纵物体进一步增加了复杂性。理论和实际的数值方法将被开发来理解如何多静态和其他高维数据可以用来解决这个否则模棱两可的逆