CAREER: RF-Sensing Networks for Radio Tomographic Environmental Imaging

集成、混合和复杂系统犹他州大学Neal K.PatwariCAREER：用于无线电层析成像环境成像的射频传感网络智能优点：这项研究的重点是开发新技术，以？通过墙壁进入建筑物，展示内部结构和结构内人的运动。这种方法不依赖于单一的自给自足的短程雷达，而是使用一个大规模的低成本传感器网络作为多基地射频(RF)雷达，其成对测量和频谱测量可以用于对环境进行成像。这项研究位于统计信号处理和无线电传播的交叉点，并解决了与密集的射频传感器网络和准确的统计信道模型相关的必要关键进展。拟议的研究(1)使用广泛的测量来开发依赖于衰减场的有效统计信道模型，(2)开发和测试无线电层析成像的估计算法，以及(3)分析其估计性能。广泛的影响：如果成功地导致新的层析成像环境成像系统，该提议有可能在紧急情况下显著地惠及消防员、其他急救人员和建筑物居住者。此外，通过改进动态频谱接入无线网络中的协作频谱感知和改进多跳网络中的信道仿真，该研究还有可能对其他类型的通信网络有所裨益。该项目是首席研究员S将信号处理和无线网络的研究与教育相结合的目标的关键部分。这个项目将导致一个新的无线通信系统实验室，这是系课程倡议的关键部分，为学生提供综合实验体验。此外，该项目将开发和分发新的互动模块，供10至12年级的学生使用，特别是在针对代表性不足群体的学生的方案中，这两项目标都是增加电气和计算机工程专业学生的多样性和总入学率的一部分。本科生的研究也将被纳入这个项目。

Integrative, Hybrid and Complex SystemsUniversity of UtahNeal K. PatwariCAREER: RF-Sensing Networks for Radio Tomographic Environmental ImagingIntellectual Merit: This research focuses on the development of new technologies to ?see? through walls into buildings to show interior structures and the motion of people within the structure. Rather than relying on a single self-contained short-range radar, this method uses a large-scale network of low-cost sensors as multi-static radio frequency (RF) radars whose pair-wise and spectral measurements can be used to image the environment. This research lies at the intersection of statistical signal processing and radio propagation and addresses the necessary key advances related to dense networks of RF sensors and accurate statistical channel models. The proposed research (1) uses extensive measurements to develop valid statistical channel models that depend on the attenuation field, (2) develops and tests estimation algorithms for radio tomographic imaging, and (3) analyzes their estimation performance.Broader Impact: If successful in leading to new tomographic environmental imaging systems, the proposal has the potential to significantly benefit fire fighters, other first responders, and building occupants in emergency situations. In addition, the research has the potential to benefit other types of communication networks by advancing cooperative spectrum sensing in dynamic spectrum access radio networks and improving channel simulation in multi-hop networks. The project is a crucial part of the principal investigator?s goal of integrating research and education in signal processing and wireless networks. This project will lead to a new wireless communication system laboratory, a key part of a departmental curricular initiative to provide students with integrative lab experiences. Further the project will develop and disperse new interactive modules to be used with students in grades 10 through 12, in particular in programs targeted towards students from under-represented groups, both part of department goals to increase the diversity and the total enrollment of students in electrical and computer engineering. Undergraduate student research will also be integrated into this project.