Advancing electromagnetic inversion for characterization and design

推进电磁反演以进行表征和设计

• 批准号: RGPIN-2018-06042
• 负责人: Mojabi, Puyan
• 金额: $ 2.4万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=684520
• 关键词: Advancing; electromagnetic; inversion; characterization; design

This research program is concerned with Electromagnetic (EM) inversion, which is defined as the process by which some properties of a region of interest are inferred from its external EM signatures. This process involves solving EM inverse problems, which are often cast as optimization problems. The unique aspect of this research program is that all its algorithms and techniques stem from the consistent framework of EM inversion, and are then applied to impact diverging application areas: near-field microwave imaging, microwave sea ice remote sensing, antenna characterization, and design of EM engineered surfaces.******In this research program, the external EM signatures to be used by inversion algorithms are either measured EM data (e.g., EM fields, radar cross section) or desired EM properties to be realized. On the other hand, the properties to be inferred are either (i) dielectric properties of objects or regions that scatter incident EM waves (e.g., biological tissues or sea ice), or (ii) equivalent currents of EM sources that generate EM waves (e.g., antennas). ******The EM inversion framework is often used for imaging, remote sensing, and non-destructive evaluation applications, which we collectively refer to as characterization applications. This research program not only advances the topic of EM inversion for characterization, but also investigates EM inversion for design applications.******Within the area of EM inversion for characterization, our main focus is (I) to develop novel algorithms and techniques to enhance the achievable accuracy, spatial resolution, and detection capabilities, and (II) to develop more affordable inversion strategies by utilizing magnitude-only EM data. This will be pursued to advance three application areas: microwave biomedical imaging, microwave remote sensing of oil spills in sea ice, and phaseless antenna measurements.******Within the area of EM inversion for design, the key challenge to be addressed is how to use the inversion framework to facilitate the macroscopic design of EM metasurfaces, which are engineered surfaces composed of subwavelength elements. These surfaces are important as they provide a systematic means to transform a given EM field to a desired one by imposing appropriate boundary conditions. This, therefore, will advance the application area of antenna engineering.******The long-term objective of this research is to advance the topic of EM inverse problems so that (1) inversion results with maximum quantitative accuracy and spatial resolution can be systematically achieved for characterization applications and (2) EM inversion is established as an effective complementary framework to facilitate the design of complex EM systems. This research program will train highly qualified personnel (HQP) with hardware and software skills. These HQP can then use their expertise in EM inversion to impact various EM characterization and design applications.**

该研究项目涉及电磁 (EM) 反演，电磁反演被定义为从外部电磁特征推断感兴趣区域的某些属性的过程。此过程涉及解决 EM 反问题，这些问题通常被视为优化问题。该研究项目的独特之处在于，其所有算法和技术都源于一致的电磁反演框架，然后应用于影响不同的应用领域：近场微波成像、微波海冰遥感、天线表征和设计*****在本研究计划中，反演算法使用的外部电磁特征是测量的电磁数据（例如电磁场、雷达截面）或要实现的所需电磁特性。另一方面，要推断的属性是 (i) 散射入射电磁波的物体或区域（例如生物组织或海冰）的介电属性，或 (ii) 产生电磁波的电磁源的等效电流（例如，天线）。 ******电磁反演框架通常用于成像、遥感和无损评估应用，我们统称为表征应用。该研究项目不仅推进了用于表征的电磁反演主题，还研究了用于设计应用的电磁反演。********在用于表征的电磁反演领域，我们的主要重点是 (I) 开发新颖的算法和技术来提高可实现的精度、空间分辨率和检测能力，以及（II）通过利用仅震级的电磁数据来开发更经济的反演策略。这将致力于推进三个应用领域：微波生物医学成像、海冰漏油微波遥感和无相天线测量。******在电磁反演设计领域，需要解决的关键挑战是如何使用反演框架来促进电磁超表面的宏观设计，电磁超表面是由亚波长元素组成的工程表面。 这些表面很重要，因为它们提供了一种系统方法，通过施加适当的边界条件将给定的电磁场转换为所需的电磁场。因此，这将推进天线工程的应用领域。*****这项研究的长期目标是推进电磁反演问题的主题，以便（1）反演结果具有最大的定量精度和空间分辨率可以系统地实现表征应用，并且（2）将电磁反演建立为有效的补充框架，以促进复杂电磁系统的设计。该研究计划将培养具有硬件和软件技能的高素质人才（HQP）。然后，这些 HQP 可以利用他们在电磁反演方面的专业知识来影响各种电磁表征和设计应用。**