CAREER: Closing the Gaps in UWB Localization and Sensing; Algorithms, Architectures, and Prototypes

该项目建议使用一种新的和即将到来的无线技术，称为超宽带无线电，以执行室内定位在人类导航尺度，在室内空间的物体跟踪所需的尺度细粒度定位，并通过监测干扰的室内空间的无线配置文件的入侵检测。几个应用程序可以受益于在这项工作中开发的基础结构，包括室内导航和引导系统，在复杂的室内空间中自主代理的定位和导航，跟踪机器人手臂的运动，以准确完成任务，以及遵守，并通过入侵监控和报警系统保护贵重物品。因此，在这个项目的基础工作，预计将影响几个行业和先进的移动的计算使用无线技术的定位和sensing.This研究将推进国家的最先进的无线定位和传感通过新的算法和架构的贡献，导致新的协议的基础上超宽带（UWB）无线电技术。这项工作包括三个研究重点。在第一个方面，它提出了一种可无限扩展的室内定位技术，该技术可以仅使用几个UWB锚设备来跨越大型室内空间，例如购物中心、博物馆、政府大楼等。无限数量的用户可以使用UWB接收器在供应的室内空间内导出他们自己的位置，UWB接收器无意中听到由安装的锚设备发送的信号，而不发送任何UWB信号，从而确保他们的隐私。在第二个研究重点，提出了一个细粒度的3D定位的想法，利用特定的信道模式，使用多个天线在接收器。比较所接收的无线信号的相位以在相对小的空间中提供物体或机器人臂的细粒度定位。这样的系统可以在不使用相机的情况下跟踪精确的机器人运动，当在黑暗、多尘的环境中操作时，以及当相机产生的大量数据和处理需求不理想时，这是一个显著的优势。在第三个研究方向中，提出了一种入侵检测系统，它通过分析无线信道脉冲响应（CIR）中的干扰来监视受保护的空间。所提出的系统将允许友好实体自由地占据室内空间，并且通过忽略友好实体附近的CIR干扰来监视其入侵。总的来说，这项工作有望实现一个丰富的新应用生态系统。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project proposes to use a new and upcoming wireless technology called ultra-wideband radios to perform indoor localization at the human navigation scale, fine-grained localization at the scale required for object tracking in indoor spaces, and for intrusion detection through monitoring of disturbances to the wireless profile of an indoor space. Several applications can benefit from the underlying constructs developed in this work, including indoor navigation and guidance systems, localization and navigation for autonomous agents in complex indoor spaces, tracking movements of robotic arms for accurate task completion as well as for compliance, and protection of valuables through intrusion monitoring and alarm systems. Thus, the fundamental work in this project is expected to impact several industries and advance mobile computing using wireless technology for localization and sensing.This research will advance the state-of-the-art in wireless localization and sensing through novel algorithmic and architectural contributions leading to new protocols based on ultra-wideband (UWB) radio technology. This work comprises three research thrusts. In the first, it proposes to enable an infinitely scalable indoor localization technology that can span large indoor spaces, such as shopping malls, museums, government buildings, etc. using only a few UWB anchor devices. An unlimited number of users can derive their own location inside provisioned indoor spaces using UWB receivers that overhear signals sent by installed anchor devices, without transmitting any UWB signal, thereby ensuring their privacy. In the second research thrust, a fine-grained 3D localization idea is proposed which exploits specific channel patterns obtained using multiple antennas at a receiver. The phase of the received wireless signals is compared to provide fine-grained localization of objects or robotic arms in a relatively small space. Such a system can track exact robotic movements without using cameras, a significant advantage when operating in dark, dusty environments, and when the large amount of data produced and processing needs of cameras are not desirable. In the third research thrust, an intrusion detection system is proposed which monitors a protected space by analyzing disturbances in the wireless channel impulse response (CIR). The proposed system would allow friendly entities to freely occupy an indoor space and yet monitor it for intrusions by ignoring CIR disturbances in the vicinity of the friendly entity. Overall, a rich ecosystem of new applications is expected to be enabled by this work.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.