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

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本研究的目的是利用时间反转成像、相关成像和阵列相干层析成像等技术的最新研究成果，开发新的广义集成成像和通信技术。这些综合技术提供了具有实际应用潜力的新研究领域。该方法结合了分析、数值和实验研究的具体主题：(i)多个成像传感器的信息融合；（ii）利用到达角估计和模糊函数的相干无源雷达；（三）统一传播研究和信号处理的复杂环境下的通信研究。理论和计算往往建立在假设和近似的基础上，用实验来验证结果是很重要的。本研究包括使用所提出的方法进行实验，以验证理论并指出理论的新改进。本研究的智力价值在于将传播散射理论与信号处理研究相结合，建立了新的理论基础。这两个地区基本上是分开开发的。因此，本研究拟从空时波传播与散射的统一处理、多成像传感器、信号处理等方面进行研究。更广泛的影响是创造新技术，这将有助于在复杂环境中扩展无线通信和成像。对学生的培训和教育是重中之重。通过课堂传播结果，帮助学生了解综合理论和测量、统计考虑、多成像传感器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.