| dc.contributor.author | Ma, Yunfei | |
| dc.contributor.author | Selby, Nicholas | |
| dc.contributor.author | Adib, Fadel | |
| dc.date.accessioned | 2021-11-03T14:57:52Z | |
| dc.date.available | 2021-11-03T14:57:52Z | |
| dc.date.issued | 2017-10-04 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/137216 | |
| dc.description.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. | en_US |
| dc.language.iso | en | |
| dc.publisher | ACM | en_US |
| dc.relation.isversionof | 10.1145/3117811.3117833 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | Minding the Billions: Ultra-wideband Localization for Deployed RFID Tags | en_US |
| dc.title.alternative | Ultra-wideband Localization for Deployed RFID Tags | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Ma, Yunfei, Selby, Nicholas and Adib, Fadel. 2017. "Minding the Billions: Ultra-wideband Localization for Deployed RFID Tags." | |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2019-07-17T17:43:07Z | |
| dspace.date.submission | 2019-07-17T17:43:08Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |