NEW PHYSICS-BASED INVERSE-SCATTERING TECHNIQUES FOR ULTRAWIDEBAND DISTRIBUTED SENSING

用于超宽带分布式传感的基于物理的新型逆散射技术

• 批准号: 0925272
• 负责人: Fernando Teixeira
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0925272&HistoricalAwards=false
• 关键词: NEW; PHYSICS; BASED; INVERSE; SCATTERING

The objective of this research is to develop robust physics-based time-domain ultra-wideband inverse scattering techniques to detect obscured targets in random media using radio-frequency and microwave signals. The approach is based on an information-theoretic, Bayesian paradigm where the inverse scattering problem of detecting, imaging, and classifying obscured targets is treated as a conjunction of states of information that combine (1) a-priori information data with (2) (physics-based) forward problem solution and sensor data acquisition, to produce (3) the a posteriori state of information. The intellectual contributions of the proposed ultra-wideband inversion methodology involve (1) exploitation of super-resolution effects provided by spatial decorrelation of ultra-wideband signals in disordered media to yield imaging resolution beyond the classical diffraction limit (super-resolution) and (2) harnessing of time-reversal based synthetic back-propagation of ultra-wideband waves to provide frequency decorrelation in random media and, hence, statistically stable detection/imaging algorithms. The proposed physics-based inversion techniques will provide new capabilities for ultra-wideband sensors aimed at improving the way detection and imaging systems are employed at microwaves and radio-frequencies. The proposed research has the potential to benefit search-and-rescue operations where rescue teams must be able to locate hidden survivors under collapsed buildings, landslides, and other debris. It can also benefit surveillance systems for detecting objects and personnel behind walls (thru-wall imaging), under roofs, or around corners, and ground penetrating radar systems for humanitarian demining. The proposed research objectives are integrated with an education component aimed at providing a well-rounded training to students at The Ohio State University.

本研究的目的是发展强大的基于物理的时域超宽带逆散射技术，以检测模糊目标在随机介质中使用射频和微波信号。该方法是基于信息理论的贝叶斯范式，其中的逆散射问题的检测，成像和分类模糊的目标被视为一个连接的信息状态，联合收割机结合（1）先验信息数据与（2）（基于物理的）前向问题的解决方案和传感器数据采集，以产生（3）后验状态的信息。提出的超宽带反演方法的智力贡献包括：（1）利用无序介质中超宽带信号的空间去相关提供的超分辨率效应，以产生超过经典衍射极限的成像分辨率（超分辨率）和（2）利用超宽带波的基于时间反演的合成反向传播来提供随机介质中的频率去相关，因此，统计稳定的检测/成像算法。拟议的基于物理的反演技术将为超宽带传感器提供新的能力，旨在改善在微波和无线电频率下使用探测和成像系统的方式。拟议中的研究有可能有利于搜救行动，救援队必须能够在倒塌的建筑物，山体滑坡和其他碎片下找到隐藏的幸存者。它还可以使用于探测墙后（穿墙成像）、屋顶下或角落周围物体和人员的监视系统以及用于人道主义排雷的探地雷达系统受益。拟议的研究目标是与教育组成部分，旨在提供一个全面的培训，以学生在俄亥俄州州立大学。