Accurate Indoor Positioning With Ultra-Wide Band Sensors

dc.contributor.author Arsan, Taner
dc.contributor.author Arsan, Taner
dc.contributor.other Computer Engineering
dc.date.accessioned 2020-06-08T19:00:38Z
dc.date.available 2020-06-08T19:00:38Z
dc.date.issued 2020
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.description.abstract Ultra-wide band is one of the emerging indoor positioning technologies. In the application phase, accuracy and interference are important criteria of indoor positioning systems. Not only the method used in positioning, but also the algorithms used in improving the accuracy is a key factor. In this paper, we tried to eliminate the effects of off-set and noise in the data of the ultra-wide band sensor-based indoor positioning system. For this purpose, optimization algorithms and filters have been applied to the raw data, and the accuracy has been improved. A test bed with the dimensions of 7.35 m x 5.41 m and 50 cm x 50 cm grids has been selected, and a total of 27,000 measurements have been collected from 180 test points. The average positioning error of this test bed is calculated as 16.34 cm. Then, several combinations of algorithms are applied to raw data. The combination of Big Bang-Big Crunch algorithm for optimization, and then the Kalman Filter have yielded the most accurate results. Briefly, the average positioning error has been reduced from 16.34 cm to 7.43 cm. en_US
dc.identifier.citationcount 4
dc.identifier.doi 10.3906/elk-1911-79 en_US
dc.identifier.endpage 1029 en_US
dc.identifier.issn 1303-6203 en_US
dc.identifier.issn 1300-0632 en_US
dc.identifier.issn 1303-6203
dc.identifier.issn 1300-0632
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-85084989055 en_US
dc.identifier.scopusquality Q3
dc.identifier.startpage 1014 en_US
dc.identifier.trdizinid 335117 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/2890
dc.identifier.uri https://doi.org/10.3906/elk-1911-79
dc.identifier.uri https://search.trdizin.gov.tr/yayin/detay/335117
dc.identifier.volume 28 en_US
dc.identifier.wos WOS:000522447800029 en_US
dc.identifier.wosquality Q4
dc.institutionauthor Arsan, Taner en_US
dc.language.iso en en_US
dc.publisher Tubitak en_US
dc.relation.journal Turkish Journal of Electrical Engineering & Computer Sciences en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 6
dc.subject Indoor positioning en_US
dc.subject Ultra-wide band sensors en_US
dc.subject Optimization en_US
dc.subject Big bang-big crunch algorithm en_US
dc.subject Genetic algorithms en_US
dc.subject The Kalman filter en_US
dc.title Accurate Indoor Positioning With Ultra-Wide Band Sensors en_US
dc.type Article en_US
dc.wos.citedbyCount 4
dspace.entity.type Publication
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