Minding the Billions: Ultra-wideband Localization for Deployed RFID Tags
Name
minding_the_billions_ultra-wideband_localization_for_deployed_rfid_tags.pdf
Description
Accepted version
Size
5.34 MB
Format
Adobe PDF
Checksum (MD5)
b04fb05ee3f29e16b92d3c4edca361cb
Author(s)
Ma, Yunfei
Selby, Nicholas
Adib, Fadel
Alternative Title
Ultra-wideband Localization for Deployed RFID Tags
Date Issued
October 4, 2017
Publisher
ACM
Citation
Ma, Yunfei, Selby, Nicholas and Adib, Fadel. 2017. "Minding the Billions: Ultra-wideband Localization for Deployed RFID Tags."
Version
Author's final manuscript
Abstract
© 2017 Copyright held by the owner/author(s). State-of-the-art RFID localization systems fall under two categories. The first category operates with of-the-shelf narrowband RFID tags but makes restrictive assumptions on the environment or the tag's movement patterns. The second category does not make such restrictive assumptions; however, it requires designing new ultrawideband hardware for RFIDs and uses the large bandwidth to directly compute a tag's 3D location. Hence, while the first category is restrictive, the second one requires replacing the billions of RFIDs already produced and deployed annually. This paper presents RFind, a new technology that brings the benefits of ultra-wideband localization to the billions of RFIDs in today's world. RFind does not require changing today's passive narrowband RFID tags. Instead, it leverages their underlying physical properties to emulate a very large bandwidth and uses it for localization. Our empirical results demonstrate that RFind can emulate over 220MHz of bandwidth on tags designed with a communication bandwidth of only tens to hundreds of kHz, while remaining compliant with FCC regulations. This, combined with a new superresolution algorithm over this bandwidth, enables RFind to perform 3D localization with sub-centimeter accuracy in each of the x/y/z dimensions, without making any restrictive assumptions on the tag's motion or the environment.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3117811.3117833
