scispace - formally typeset
Proceedings ArticleDOI

Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices

Reads0
Chats0
TLDR
Differential Augmented Hologram (DAH) is proposed which will facilitate the instant tracking of the mobile RFID tag to a high precision and devise a comprehensive solution to accurately recover the tag's moving trajectories and its locations.
Abstract
In many applications, we have to identify an object and then locate the object to within high precision (centimeter- or millimeter-level). Legacy systems that can provide such accuracy are either expensive or suffering from performance degradation resulting from various impacts, e.g., occlusion for computer vision based approaches. In this work, we present an RFID-based system, Tagoram, for object localization and tracking using COTS RFID tags and readers. Tracking mobile RFID tags in real time has been a daunting task, especially challenging for achieving high precision. Our system achieves these three goals by leveraging the phase value of the backscattered signal, provided by the COTS RFID readers, to estimate the location of the object. In Tagoram, we exploit the tag's mobility to build a virtual antenna array by using readings from a few physical antennas over a time window. To illustrate the basic idea of our system, we firstly focus on a simple scenario where the tag is moving along a fixed track known to the system. We propose Differential Augmented Hologram (DAH) which will facilitate the instant tracking of the mobile RFID tag to a high precision. We then devise a comprehensive solution to accurately recover the tag's moving trajectories and its locations, relaxing the assumption of knowing tag's track function in advance. We have implemented the Tagoram system using COTS RFID tags and readers. The system has been tested extensively in the lab environment and used for more than a year in real airline applications. For lab environment, we can track the mobile tags in real time with a millimeter accuracy to a median of 5mm and 7.29mm using linear and circular track respectively. In our year- long large scale baggage sortation systems deployed in two airports, our results from real deployments show that Tagoram can achieve a centimeter-level accuracy to a median of 6.35cm in these real deployments.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons

TL;DR: This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment.
Proceedings ArticleDOI

Understanding and Modeling of WiFi Signal Based Human Activity Recognition

TL;DR: CARM is a CSI based human Activity Recognition and Monitoring system that quantitatively builds the correlation between CSI value dynamics and a specific human activity and recognizes a given activity by matching it to the best-fit profile.
Proceedings ArticleDOI

Precise Power Delay Profiling with Commodity WiFi

TL;DR: Splicer, a software-based system that derives high-resolution power delay profiles by splicing the CSI measurements from multiple WiFi frequency bands is presented and a set of key techniques to separate the mixed hardware errors from the collected CSI measurements are proposed.
Journal ArticleDOI

Machine Learning in IoT Security: Current Solutions and Future Challenges

TL;DR: This paper systematically review the security requirements, attack vectors, and the current security solutions for the IoT networks, and sheds light on the gaps in these security solutions that call for ML and DL approaches.
Journal ArticleDOI

Device-Free Human Activity Recognition Using Commercial WiFi Devices

TL;DR: A Channel State Information (CSI)-based human Activity Recognition and Monitoring system (CARM) based on a CSI-speed model that quantifies the relation between CSI dynamics and human movement speeds and human activities.
References
More filters
Journal ArticleDOI

LANDMARC: indoor location sensing using active RFID

TL;DR: This paper presents LANDMARC, a location sensing prototype system that uses Radio Frequency Identification (RFID) technology for locating objects inside buildings and demonstrates that active RFID is a viable and cost-effective candidate for indoor location sensing.
Proceedings ArticleDOI

Ambient backscatter: wireless communication out of thin air

TL;DR: The design of a communication system that enables two devices to communicate using ambient RF as the only source of power is presented, enabling ubiquitous communication where devices can communicate among themselves at unprecedented scales and in locations that were previously inaccessible.
Proceedings ArticleDOI

Dude, where's my card?: RFID positioning that works with multipath and non-line of sight

TL;DR: This paper introduces the first fine-grained RFID positioning system that is robust to multipath and non-line-of-sight scenarios, and exploits multipath to accurately locate RFIDs.
Journal ArticleDOI

Complete Link Budgets for Backscatter-Radio and RFID Systems

TL;DR: This article presents four link budgets that account for the major propagation mechanisms of the backscatter channel, along with a detailed discussion of each.
Proceedings ArticleDOI

Phase based spatial identification of UHF RFID tags

TL;DR: In this paper, the authors give an overview of spatial identification of modulated backscatter UHF RFID tags using RF phase information, and describe three main techniques based on PDOA (phase difference of arrival): TD (Time Domain), FD (Frequency Domain), and SD (Spatial Domain).
Related Papers (5)