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dc.contributor.authorMontorsi, Francesco
dc.contributor.authorMazuelas, Santiago
dc.contributor.authorVitetta, Giorgio M.
dc.contributor.authorWin, Moe Z.
dc.date.accessioned2013-09-25T14:17:24Z
dc.date.available2013-09-25T14:17:24Z
dc.date.issued2013-08
dc.date.submitted2013-02
dc.identifier.issn0018-9448
dc.identifier.issn1557-9654
dc.identifier.urihttp://hdl.handle.net/1721.1/81159
dc.description.abstractEstablishing bounds on the accuracy achievable by localization techniques represents a fundamental technical issue. Bounds on localization accuracy have been derived for cases in which the position of an agent is estimated on the basis of a set of observations and, possibly, of some a priori information related to them (e.g., information about anchor positions and properties of the communication channel). In this paper, new bounds are derived under the assumption that the localization system is map-aware, i.e., it can benefit not only from the availability of observations, but also from the a priori knowledge provided by the map of the environment where it operates. Our results show that: a) map-aware estimation accuracy can be related to some features of the map (e.g., its shape and area) even though, in general, the relation is complicated; b) maps are really useful in the presence of some combination of low SNRs and specific geometrical features of the map (e.g., the size of obstructions); c) in most cases, there is no need of refined maps since additional details do not improve estimation accuracy.en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (Grant FA9550-12-0287)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-11-1-0397)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Institute for Soldier Nanotechnologiesen_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TIT.2013.2257915en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourcearXiven_US
dc.titleOn the Performance Limits of Map-Aware Localizationen_US
dc.typeArticleen_US
dc.identifier.citationMontorsi, Francesco, Santiago Mazuelas, Giorgio M. Vitetta, and Moe Z. Win. “On the Performance Limits of Map-Aware Localization.” IEEE Transactions on Information Theory 59, no. 8 (August 2013): 5023-5038.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorMontorsi, Francescoen_US
dc.contributor.mitauthorWin, Moe Z.en_US
dc.relation.journalIEEE Transactions on Information Theoryen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMontorsi, Francesco; Mazuelas, Santiago; Vitetta, Giorgio M.; Win, Moe Z.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8573-0488
mit.licenseOPEN_ACCESS_POLICYen_US


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