| dc.contributor.author | Shen, Yuan | |
| dc.contributor.author | Win, Moe Z. | |
| dc.date.accessioned | 2011-10-13T17:14:12Z | |
| dc.date.available | 2011-10-13T17:14:12Z | |
| dc.date.issued | 2010-09 | |
| dc.date.submitted | 2008-10 | |
| dc.identifier.issn | 0018-9448 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/66246 | |
| dc.description.abstract | The availability of position information is of great importance in many commercial, public safety, and military applications. The coming years will see the emergence of location-aware networks with submeter accuracy, relying on accurate range measurements provided by wide bandwidth transmissions. In this two-part paper, we determine the fundamental limits of localization accuracy of wideband wireless networks in harsh multipath environments. We first develop a general framework to characterize the localization accuracy of a given node here and then extend our analysis to cooperative location-aware networks in Part II. In this paper, we characterize localization accuracy in terms of a performance measure called the squared position error bound (SPEB), and introduce the notion of equivalent Fisher information (EFI) to derive the SPEB in a succinct expression. This methodology provides insights into the essence of the localization problem by unifying localization information from individual anchors and that from a priori knowledge of the agent's position in a canonical form. Our analysis begins with the received waveforms themselves rather than utilizing only the signal metrics extracted from these waveforms, such as time-of-arrival and received signal strength. Hence, our framework exploits all the information inherent in the received waveforms, and the resulting SPEB serves as a fundamental limit of localization accuracy. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (grant 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 | Massachusetts Institute of Technology. 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/tit.2010.2060110 | 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 | Fundamental Limits of Wideband Localization - Part I: A General Framework | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Shen, Yuan, and Moe Z. Win. “Fundamental Limits of Wideband Localization Part I: A General Framework.” IEEE Transactions on Information Theory 56.10 (2010) : 4956-4980. © Copyright 2011 IEEE | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | 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 | Shen, Yuan | |
| dc.contributor.mitauthor | Win, Moe Z. | |
| dc.relation.journal | IEEE Transactions on Information Theory | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Shen, Yuan; Win, Moe Z. | en |
| dc.identifier.orcid | https://orcid.org/0000-0002-8573-0488 | |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |