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.

一个可扩展的无线系统，可以连续，准确，简单地跟踪多个人的运动并检测其细粒度的身体运动，将使许多新型现实生活应用的发展，例如诊断运动障碍，继续监控儿童的行为，并在实时监测儿童的行为，并对旧跌倒的护理人员提醒。该项目的目的是通过采用基于射频（RF）标签的无线灵敏度技术来设计和实施这种无线跟踪系统。密歇根州立大学的一组研究人员将通过信号处理，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来应对理论和实验的基本挑战。无线跟踪系统将有可能监视护士房屋中古老的居民的活动，同时保留其隐私，预测和防止其可能的跌倒，并指导他们进行医生的锻炼。它还将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心发展进行数据驱动的研究。研究发现将大致传播到研究社区以获得结果的可重复性，并将创建教育材料以丰富学生的学习经验。该项目旨在设计和实施一个可扩展的无线标签跟踪系统，该系统具有较大的覆盖面积，分布式传感器，读取器间协调，简单的多标签跟踪和高分辨率。它包括三个完整的研究推力。第一个推力将通过协调和同步位置分布的射频（RF）读取器来开发用于大规模标记跟踪系统的细粒跟踪解决方案，以进行精确定位。它将开发新技术，以通过优化的信号处理算法，阅读器间通信和协调协议，标签调度和资源分配来最大化标签跟踪的时间分辨率。第二个推力将开发技术，以启用与蜂窝网络中多用户MIMO（多输入和多输出）的想法相似的简单多标签跟踪。它将大大改善标签跟踪的时间分辨率，尤其是在标签密度方案中。第三个推力将使用窄带谐波标签和微型多普勒雷达进行运动跟踪。它将推动谐波射频标签和雷达的设计和结构，用于频率选择性多标签操作，并在跟踪应用程序中探索谐波标签的性能限制。此外，该项目还包括系统实施和实验评估的重要组成部分，其最终目的是展示其现实生活中的应用。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子和更广泛的影响来审查标准，通过评估来诚实地支持支持。

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