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

该博士将生成并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。该博士学位将由 Dstl 和 EPSRC iCASE 奖联合资助。 Dstl 的未来传感计划 (FSP) 旨在推动雷达领域变革性的新颖科学技术 (S&T)；它开发的新技术和工艺可以在未来提供作战优势和行动自由。一个特别令人感兴趣的领域是雷达图像的改进。大多数单站 SAR 成像方案都采用线积分方法。然而，椭圆/椭球、圆和球积分变换可用于对双静态/多静态系统进行数学建模。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，从而产生高分辨率图像并提供有关场景的更多信息 - 例如有关各向异性散射体的信息。该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SAR中，在方位角方向上以恒定速度移动的物体将由于每个雷达脉冲之间的位置变化而显得模糊，而在径向方向上移动的物体将被聚焦但在方位角上出现位移。加速和操纵物体进一步增加了复杂性。将开发理论和实践数值方法，以了解如何使用多静态和其他高维数据来解决这个模糊的逆问题