dc.contributor.author | Win, Moe Z. | |
dc.contributor.author | Gifford, Wesley Michael | |
dc.contributor.author | Marano, Stefano | |
dc.contributor.author | Wymeersch, Henk | |
dc.date.accessioned | 2010-11-12T20:56:04Z | |
dc.date.available | 2010-11-12T20:56:04Z | |
dc.date.issued | 2010-03 | |
dc.date.submitted | 2009-11 | |
dc.identifier.isbn | 978-1-4244-4148-8 | |
dc.identifier.issn | 1930-529X | |
dc.identifier.other | INSPEC Accession Number: 11171135 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/59985 | |
dc.description.abstract | Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles introduces a positive bias in distance estimates, severely degrading localization accuracy. We have performed an extensive indoor measurement campaign with FCC-compliant UWB radios to quantify the effect of non-line-of-sight (NLOS) propagation. Based on this campaign, we extract key features that allow us to distinguish between NLOS and LOS conditions. We then propose a nonparametric approach based on support vector machines for NLOS identification, and compare it with existing parametric (i.e., model-based) approaches. Finally, we evaluate the impact on localization through Monte Carlo simulation. Our results show that it is possible to improve positioning accuracy relying solely on the received UWB signal. | en_US |
dc.description.sponsorship | National Science Foundation (U.S.) (ECCS-0636519) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (ECCS-0901034) | en_US |
dc.description.sponsorship | United States. Office of Naval Research (Presidential Early Career Award for Scientists and Engineers (PECASE) N00014- 09-1-0435) | en_US |
dc.description.sponsorship | Defense University Research Instrumentation Program (U.S.) (Grant N00014-08-1-0826) | en_US |
dc.description.sponsorship | MIT/Army Institute for Soldier Nanotechnologies | en_US |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/GLOCOM.2009.5425460 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | IEEE | en_US |
dc.title | Nonparametric obstruction detection for UWB localization | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Marano, S. et al. “Nonparametric Obstruction Detection for UWB Localization.” Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE. 2009. 1-6. ©2009 IEEE. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
dc.contributor.approver | Win, Moe Z. | |
dc.contributor.mitauthor | Win, Moe Z. | |
dc.contributor.mitauthor | Gifford, Wesley Michael | |
dc.relation.journal | IEEE Global Telecommunications Conference, 2009. GLOBECOM 2009 | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
dspace.orderedauthors | Marano, Stefano; Gifford, Wesley M.; Wymeersch, Henk; Win, Moe Z. | en |
dc.identifier.orcid | https://orcid.org/0000-0002-8573-0488 | |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |