Show simple item record

dc.contributor.authorArsan, Taner
dc.date.accessioned2020-06-08T19:00:38Z
dc.date.available2020-06-08T19:00:38Z
dc.date.issued2020
dc.identifier.issn1303-6203
dc.identifier.issn1300-0632
dc.identifier.urihttps://doi.org/10.3906/elk-1911-79en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/2890
dc.description.abstractUltra-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.language.isoEnglishen_US
dc.publisherTubitaken_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIndoor positioningen_US
dc.subjectUltra-wide band sensorsen_US
dc.subjectOptimizationen_US
dc.subjectBig bang-big crunch algorithmen_US
dc.subjectGenetic algorithmsen_US
dc.subjectThe Kalman filteren_US
dc.titleAccurate indoor positioning with ultra-wide band sensorsen_US
dc.typeArticleen_US
dc.identifier.startpage1014en_US
dc.identifier.endpage1029en_US
dc.relation.journalTurkish Journal of Electrical Engineering & Computer Sciencesen_US
dc.identifier.issue2en_US
dc.identifier.volume28en_US
dc.identifier.wosWOS:000522447800029en_US
dc.identifier.doi10.3906/elk-1911-79en_US
dc.contributor.khasauthorArsan, Taneren_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record