CAREER: RF-Sensing Networks for Radio Tomographic Environmental Imaging

综合、混合和复杂系统。PatwariCAREER：射频传感网络的无线电层析成像环境ImagingIntellectual优点：这项研究的重点是新技术的发展？看到没？通过墙壁进入建筑物，以显示内部结构和结构内的人的运动。 这种方法不依赖于单个独立的短程雷达，而是使用大规模的低成本传感器网络作为多基地射频（RF）雷达，其成对和频谱测量可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RF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）开发和测试用于无线电断层成像的估计算法，以及（3）分析其估计性能。如果成功地导致新的断层环境成像系统，该提案有可能大大有利于消防队员，其他第一反应，以及紧急情况下的建筑物住户。 此外，该研究具有潜在的受益于其他类型的通信网络，通过推进合作频谱感知在动态频谱接入无线电网络和改善信道模拟在多跳网络。 这个项目是一个至关重要的部分，主要研究者？的目标是整合信号处理和无线网络的研究和教育。 这个项目将导致一个新的无线通信系统实验室，一个部门的课程倡议，为学生提供综合实验室的经验的关键部分。 此外，该项目将开发和分散新的互动模块，用于10年级至12年级的学生，特别是针对代表性不足的群体的学生的课程，这两个部门的目标的一部分，以增加电气和计算机工程学生的多样性和总入学率。 本科生的研究也将纳入这个项目。

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.