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An effective indoor positioning system by modified linearized least square approach using UWB technology

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dc.citedby5
dc.contributor.authorJumaah A.-N.K.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorAlami A.K.en_US
dc.contributor.authorid59562347600en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid58101396000en_US
dc.date.accessioned2025-03-03T07:44:13Z
dc.date.available2025-03-03T07:44:13Z
dc.date.issued2024
dc.description.abstractUltra-wideband is among the key radio spectrums that can be utilized for indoor localization. It is a short-range radio frequency (RF) spectrum that can be utilized to locate the exact position of devices, people, and assets for wireless communication. However, it has a significant limitation in that it requires a non-line-of-sight (NLOS) mitigation and identification techniques to precisely locate a mobile station in a hard indoor environment (more obstacles) between the anchor nodes and mobile station. The NLOS approach will make positioning more difficult. The goals of this work are (i) to find the minimum required number of anchor nodes for cost and time saving have been fixed; (ii) to ensure that the designed system?s precision is maintained, it must be compatible with a variety of indoor conditions. In this paper, we develop a novel indoor positioning system algorithm called enhanced linearized least square (ELLS) that employs UWB technology without relying on an NLOS credentials technique. In this paper, we use real-world trials to test and validate the system we have developed. The developed system does have a mean positioning accuracy of 0.46 m2 of mean square error (MSE) in a harsh environment. It surpasses the majority of indoor positioning systems currently available while being less complex, less expensive, and more accurate. ? The Author(s), under exclusive licence to Societ� Italiana di Fotogrammetria e Topografia (SIFET) 2023.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s12518-023-00494-y
dc.identifier.epage28
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85147940277
dc.identifier.spage17
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85147940277&doi=10.1007%2fs12518-023-00494-y&partnerID=40&md5=7a3861d33ba9a50466cf071ffa02d0d8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36727
dc.identifier.volume16
dc.pagecount11
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleApplied Geomatics
dc.subjectaccuracy assessment
dc.subjectalgorithm
dc.subjectleast squares method
dc.subjectpositioning system
dc.subjectsensor
dc.titleAn effective indoor positioning system by modified linearized least square approach using UWB technologyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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