Integrated Space-time Strategies for Imaging and Communication in Complex Environments

该研究项目是根据2009年美国复苏和再投资法案（公法111-5）资助的。本研究的目标是利用时间反转成像、相关成像和阵列相干断层成像等几种技术的最新研究，开发新的广义综合成像和通信技术。 这些综合技术提供了具有实际应用潜力的新的研究领域。 该方法是结合使用的分析，数值和实验研究的特定主题：（一）多个成像传感器的信息融合;（二）相干无源雷达利用到达角估计和模糊函数;和（三）研究通过复杂的环境中统一的传播研究和信号处理的通信。 理论和计算往往是基于假设和近似，重要的是要通过实验来验证结果。 本研究包括利用所提出的方法进行实验验证理论和指出理论的新改进，其智力价值在于为传播和散射理论与信号处理研究的统一提供了新的理论基础。 这两个领域在很大程度上是分开发展的。 因此，本研究的重点是统一处理时空波传播和散射、多成像传感器和信号处理，其更广泛的影响是创造新技术，有助于在复杂环境中扩展无线通信和成像。 学生的培训和教育是一个优先事项。 通过课堂传播的结果，帮助学生了解综合理论和测量，统计考虑，多个成像传感器的融合和信号处理的新领域。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is the development of new generalized integrated imaging and communication technologies making use of recent studies on several techniques such as time-reversal imaging, correlation imaging, and array coherence tomographic imaging. These integrated techniques offer new areas of research with a potential for practical applications. The approach is the combined use of analytical, numerical and experimental studies for the specific topics of: (i) information fusion of multiple imaging sensors; (ii) coherent passive radars making use of angle-of-arrival estimation and ambiguity function; and (iii) research on communications through complex environments unifying propagation research and signal processing. Theories and computations are often based on assumptions and approximations and it is important to verify the results by experiments. This research includes experiments using the proposed methods to verify the theories and to point to new improvement of theories.The intellectual merit of this research is new theoretical foundations which unify propagation and scattering theories and signal processing research. These two areas are largely separately developed. This research, therefore, intends to focus on the unified treatment of space-time wave propagation and scattering, multiple imaging sensors, and signal processing.The broader impacts are the creation of new technologies which should help expand wireless communication and imaging in complex environments. The training and education of students is a priority. The dissemination of the results through classes helps students to understand new areas of integrated theories and measurement, statistical considerations, fusion of multiple imaging sensors, and signal processing.