Towards Real-Time Fine-Grained Tracking in Distributed Large-Scale RF Tag Systems

实现分布式大规模射频标签系统中的实时细粒度跟踪

• 批准号: 2225337
• 负责人: Huacheng Zeng
• 金额: $ 45万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2225337&HistoricalAwards=false
• 关键词: Towards; Real; Time; Fine; Grained

A scalable wireless system that can continuously, accurately, and simultaneously track multiple people's movements and detect their fine-grained body motions will enable the development of many novel real-life applications, such as diagnosing movement disorders, continuously monitoring children's behaviors, and alerting caregivers of elderly falls in real time. The objective of this project is to design and implement such a wireless tracking system by employing radio frequency (RF) tag based wireless sensing technology. A team of researchers from Michigan State University will address the fundamental challenges in both theory and experiments through innovations in signal processing, mathematical modeling, algorithm and protocol design, machine learning, optimization, radar design, and harmonic tag fabrication. The wireless tracking system will make it possible to monitor the activities of elderly residents in nursing homes while preserving their privacy, predict and prevent their possible falls, and guide them to perform doctor-suggested exercises. It will also enable the continuous monitoring of children’s behaviors and activities in a non-invasive manner, making it possible to conduct data-driven studies of children’s physical and mental development. The research findings will be broadly disseminated to research community for reproducibility of results, and educational materials will be created to enrich students’ learning experience. This project aims to design and implement a scalable wireless tag tracking system that features large coverage area, distributed sensing, inter-reader coordination, simultaneous multi-tag tracking, and high resolution in time. It comprises three complementary research thrusts. The first thrust will develop fine-grained tracking solutions for a large-scale tag tracking system by coordinating and synchronizing location-distributed radio frequency (RF) readers for precise localization. It will develop new techniques to maximize the time resolution of tag tracking through optimizing signal processing algorithms, inter-reader communication and coordination protocols, tag scheduling, and resource allocation. The second thrust will develop techniques to enable simultaneous multi-tag tracking similar to the idea of multi-user MIMO (multiple-input and multiple-output) in cellular networks. It will significantly improve the time resolution of tag tracking, especially in tag-dense scenarios. The third thrust will focus on motion tracking using narrowband harmonic tags and micro-Doppler radar. It will advance the design and fabrication of harmonic RF tags and radars for frequency-selective multi-tag operations, and explore the performance limits of harmonic tags in tracking applications. In addition, this project includes a strong component of system implementation and experimental evaluation, with the ultimate goal of demonstrating its real-life applications.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.

可扩展的无线系统可以连续、准确、同时跟踪多人的运动并检测他们的细粒度身体运动，这将有助于开发许多新颖的现实生活应用，例如诊断运动障碍、持续监测儿童的行为以及向护理人员发出警报该项目的目标是通过采用基于射频 (RF) 标签的无线传感技术来设计和实现这样的无线跟踪系统，以解决这两个方面的基本挑战。理论通过信号处理、数学建模、算法和协议设计、机器学习、优化、雷达设计和谐波标签制造方面的创新和实验，无线跟踪系统将能够监控疗养院老年居民的活动，同时保护他们的健康。隐私，预测和预防他们可能跌倒，并指导他们进行医生建议的锻炼，它还将能够以非侵入性的方式持续监测儿童的行为和活动，从而可以对儿童的身体进行数据驱动的研究。和心理发展。广泛传播给研究界以确保结果的可重复性，并将创建教育材料以丰富学生的学习体验。该项目旨在设计和实现一个可扩展的无线标签跟踪系统，该系统具有大覆盖范围、分布式传感、阅读器间协调等特点。 、同时多标签跟踪和时间高分辨率由三个互补的研究重点组成，第一个重点将通过协调和同步位置分布式射频来开发大规模标签跟踪系统的细粒度跟踪解决方案。它将开发新技术，通过优化信号处理算法、阅读器间通信和协调协议、标签调度和资源分配来最大限度地提高标签跟踪的时间分辨率。同步多标签跟踪类似于蜂窝网络中的多用户MIMO（多输入多输出）的思想，它将显着提高标签跟踪的时间分辨率，特别是在标签密集的场景中。将专注于使用窄带谐波进行运动跟踪它将推进用于频率选择性多标签操作的谐波射频标签和雷达的设计和制造，并探索谐波标签在跟踪应用中的性能极限。此外，该项目还包括一个强大的组件。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

mReader: Concurrent UHF RFID Tag Reading

• DOI: 10.1145/3565287.3610256
• 发表时间: 2023-10
• 期刊: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Hossein Pirayesh;Shichen Zhang;Huacheng Zeng