| dc.contributor.advisor | Fadel Adib. | en_US |
| dc.contributor.author | Selby, Nicholas Stearns | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Mechanical Engineering. | en_US |
| dc.date.accessioned | 2018-10-22T18:27:49Z | |
| dc.date.available | 2018-10-22T18:27:49Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/118675 | |
| dc.description | Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 51-56). | en_US |
| dc.description.abstract | This thesis aims to enable virtual and augmented reality (VR/AR) systems to track objects accurately through occlusions via RFID localization. Currently, three major obstacles prevent the use of RFID localization in VR/AR systems: (1) there exists a trade-off between measurement speed and ability to deal with multipath, so systems which can produce accurate results either require a highly constrained environment or several seconds to localize; (2) past RFID localization techniques lack robustness to changes in tag orientation; and (3) current RFID orientation extraction methodologies are largely inaccurate. To overcome these challenges, this thesis presents RF-Reality, a new system that leverages a novel OFDM backscatter technique and differential channel estimation algorithm to perform accurate, rapid RFID position and orientation recovery. | en_US |
| dc.description.statementofresponsibility | by Nicholas Stearns Selby. | en_US |
| dc.format.extent | 56 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Mechanical Engineering. | en_US |
| dc.title | Rapid RFID location and orientation recovery | en_US |
| dc.title.alternative | Rapid radio-frequency identification location and orientation recovery | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | S.M. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
| dc.identifier.oclc | 1057362443 | en_US |
