A survey on wireless position estimation

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buir.contributor.authorGezici, Sinan
dc.citation.epage282en_US
dc.citation.issueNumber3en_US
dc.citation.spage263en_US
dc.citation.volumeNumber44en_US
dc.contributor.authorGezici, Sinanen_US
dc.date.accessioned2016-02-08T10:10:28Z
dc.date.available2016-02-08T10:10:28Z
dc.date.issued2008en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, an overview of various algorithms for wireless position estimation is presented. Although the position of a node in a wireless network can be estimated directly from the signals traveling between that node and a number of reference nodes, it is more practical to estimate a set of signal parameters first, and then to obtain the final position estimation using those estimated parameters. In the first step of such a two-step positioning algorithm, various signal parameters such as time of arrival, angle of arrival or signal strength are estimated. In the second step, mapping, geometric or statistical approaches are commonly employed. In addition to various positioning algorithms, theoretical limits on their estimation accuracy are also presented in terms of Cramer-Rao lower bounds.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:10:28Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.doi10.1007/s11277-007-9375-zen_US
dc.identifier.eissn1572-834X
dc.identifier.issn0929-6212
dc.identifier.urihttp://hdl.handle.net/11693/23221
dc.language.isoEnglishen_US
dc.publisherSpringer New York LLCen_US
dc.relation.isversionofhttp://doi.org/10.1007/s11277-007-9375-zen_US
dc.source.titleWireless Personal Communicationsen_US
dc.subjectPosition estimationen_US
dc.subjectCramer–Rao lower bounden_US
dc.subjectMapping techniquesen_US
dc.subjectBayerian estimationen_US
dc.subjectMaximum likelihood estimationen_US
dc.titleA survey on wireless position estimationen_US
dc.typeArticleen_US

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