Ultra Low-Latency Backscatter for Fast-Moving Location Tracking

Author:

Wang Jingxian1,Ranganathan Vaishnavi2,Lester Jonathan2,Kumar Swarun1

Affiliation:

1. Carnegie Mellon University

2. Microsoft Research, Redmond

Abstract

This paper explores building an ultra-low latency and high-accuracy location tracking solution using battery-free tags. While there is rich prior work on location tracking with battery-free RFID tags and backscatter devices, these systems typically face tradeoffs with accuracy, power consumption, and latency. Such limitations make these existing solutions unsuitable for emerging applications like industrial augmented reality which requires tracking fast-moving machinery; monitoring indoor sports activities that require real-time tracking of fast-moving objects with high precision and under stringent latency constraints. We propose and demonstrate FastLoc, a precision tracking system that locates tiny, battery-free analog backscatter tags at sub-millisecond latency and sub-centimeter accuracy. FastLoc is a hybrid system that simultaneously uses RF and optical signals to track tiny tags that can be attached to everyday objects. FastLoc leverages the RF channel responses from tags for estimating the coarse region where the tags may be located. It simultaneously uses the sensed optical information modulated on the backscatter signals to enable fine-grained location estimation within the coarse region. To achieve this, we design and fabricate a custom analog tag that consumes less than 150 uW and instantaneously converts incident optical signals to one-shot wideband harmonic RF responses at nanosecond latency. We then develop a static high-density distributed-frequency structured light pattern that can localize tags in the area of interest at a sub-centimeter accuracy and microsecond-scale latency. A detailed experimental evaluation of FastLoc shows a median accuracy of 0.7 cm in tag localization with a 0.51 ms effective localization latency.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference64 articles.

1. 2021. Amphenol PCB Antenna. https://www.mouser.com/datasheet/2/18/1/Amphenol_04262021_PIOV009NRAA-2306592.pdf. 2021. Amphenol PCB Antenna. https://www.mouser.com/datasheet/2/18/1/Amphenol_04262021_PIOV009NRAA-2306592.pdf.

2. 2021. Ceramic Super-capacitor. https://www.ti.com/lit/ds/symlink/bq25570.pdf. 2021. Ceramic Super-capacitor. https://www.ti.com/lit/ds/symlink/bq25570.pdf.

3. 2021. Dynamic IR Scene Projector. https://www.acalbfi.com/be/Photonics/Uniform-sources-and-Camera-test-systems/Target-projectors/p/Dynamic-IR-Scene-Projectors--MIRAGE/0000001WFZ. 2021. Dynamic IR Scene Projector. https://www.acalbfi.com/be/Photonics/Uniform-sources-and-Camera-test-systems/Target-projectors/p/Dynamic-IR-Scene-Projectors--MIRAGE/0000001WFZ.

4. 2021. Gel Filter Transparent Color Film Plastic Sheets. https://www.amazon.com/Pangda-Colored-Overlays-Correction-Transparent/dp/B07JPM33FC?th=1. 2021. Gel Filter Transparent Color Film Plastic Sheets. https://www.amazon.com/Pangda-Colored-Overlays-Correction-Transparent/dp/B07JPM33FC?th=1.

5. 2021. Linx Ceramic Patch Antenna. https://www.mouser.com/pdfDocs/ant-915-cpa-ds.pdf. 2021. Linx Ceramic Patch Antenna. https://www.mouser.com/pdfDocs/ant-915-cpa-ds.pdf.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DANCE: Dynamic Anchor Node-Based Cooperative Enhancement of Wireless Indoor Localization for Internet of Things;2023 33rd International Telecommunication Networks and Applications Conference;2023-11-29

2. Towards Low-cost Sensing with Mobile Backscatter;Proceedings of the 29th Annual International Conference on Mobile Computing and Networking;2023-10-02

3. LocRa: Enable Practical Long-Range Backscatter Localization for Low-Cost Tags;Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services;2023-06-18

4. Backscatter Communication Meets Practical Battery-Free Internet of Things: A Survey and Outlook;IEEE Communications Surveys & Tutorials;2023

5. Exploring the Application of RFID for Designing Augmented Virtual Reality Experience;IEEE Access;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3