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

职业：缩小 UWB 定位和传感领域的差距；

• 批准号: 2145278
• 负责人: Ashutosh Dhekne
• 金额: $ 64.97万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145278&HistoricalAwards=false
• 关键词: CAREER; Closing; Gaps; UWB; Localization

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.

该项目建议使用一种称为超宽带无线电的新的无线技术在人类航行量表上执行室内定位，在室内空间中对象跟踪所需的尺度上进行细粒度的定位，并通过监测室内空间无线概况的干扰来进行入侵检测。几种应用程序可以受益于本工作中开发的基础结构，包括室内导航和指导系统，在复杂的室内空间中自主代理的本地化和导航，跟踪机器人臂的运动，以确保任务完成以及通过入侵监控和警报系统来保护贵重物品。因此，预计该项目中的基本工作将影响多个行业，并使用无线技术进行本地化和传感进行推进移动计算。这项研究将通过新颖的算法和建筑贡献来推进无线定位和传感的最先进，从而为基于Ultra-Wideband（UWB）无线电技术的新协议提供了新的协议。这项工作包括三项研究。首先，它提议启用无限可扩展的室内定位技术，该技术可以跨越大型室内空间，例如购物中心，博物馆，政府建筑等。无限数量的用户可以使用安装的锚固设备发送的UWB接收器在提供的室内空间内部得出自己的位置，而无需传输任何UWB信号，从而确保其隐私。在第二项研究推力中，提出了一个细粒度的3D定位想法，该想法利用了使用接收器的多个天线获得的特定通道模式。比较接收的无线信号的阶段，以在相对较小的空间中提供对物体或机器人臂的细粒定位。这样的系统可以在不使用摄像机的情况下跟踪精确的机器人运动，在黑暗，尘土飞扬的环境中运行时具有显着优势，以及当产生的大量数据和相机的处理需求不可取时。在第三次研究推力中，提出了一个入侵检测系统，该系统通过分析无线通道脉冲响应（CIR）中的干扰来监视受保护的空间。拟议的系统将允许友好的实体自由地占据室内空间，并通过忽略友好实体附近的CIR骚乱来监视入侵。总体而言，这项工作预计将实现丰富的新应用程序生态系统。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被认为值得通过评估来获得支持。

项目成果

Location-specific public broadcasts

特定地点的公共广播

• DOI: 10.1145/3498361.3538666
• 发表时间: 2022
• 期刊: Applications and Services
• 作者: Chen, Haige;Yin, Zixin;Dhekne, Ashutosh
• 通讯作者: Dhekne, Ashutosh

Thaw: A UWB-based Ice-Water State Detector

解冻：基于 UWB 的冰水状态探测器

• DOI: 10.1145/3638550.3643046
• 发表时间: 2024
• 期刊: Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications
• 作者: Bulusu, Rahul;Dhekne, Ashutosh
• 通讯作者: Dhekne, Ashutosh

Towards Hybrid Presence Enabled by Indoor Localization and Holograms

通过室内定位和全息图实现混合呈现

• DOI: 10.1145/3544793.3560354
• 发表时间: 2022
• 期刊: ubicompiswc22adjunct: Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing
• 作者: Yin, Zixin;Chen, Haige;Ye, Jinzhi;Dhekne, Ashutosh
• 通讯作者: Dhekne, Ashutosh

UnSpoof: Distance Spoofing-Evident Localization using UWB

UnSpoof：使用 UWB 进行距离欺骗-明显的定位

• DOI: 10.1109/ipin57070.2023.10332533
• 发表时间: 2023
• 期刊: 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN
• 作者: Chen, Haige;Dhekne, Ashutosh
• 通讯作者: Dhekne, Ashutosh

Bringing UWB Indoor Localization Closer to being Universal and Pervasive

让 UWB 室内定位更加普及和普及

• DOI: 10.1145/3544793.3560327
• 发表时间: 2022
• 期刊: ubicompiswc22adjunct: Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing
• 作者: Chen, Haige;Yin, Zixin;Dhekne, Ashutosh
• 通讯作者: Dhekne, Ashutosh