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The Application of Discrete Fourier Transforms in Reducing the Calibration Effort of Indoor Positioning System

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dc.contributor.authorAnvar Narzullaeven_US
dc.contributor.authorZahriddin Muminoven_US
dc.contributor.authorZainidin Eshkuvatoven_US
dc.contributor.authorNorazmir Mohd Nordinen_US
dc.date.accessioned2024-05-27T14:40:10Z
dc.date.available2024-05-27T14:40:10Z
dc.date.issued2020
dc.date.submitted2021-2-4
dc.description.abstractFor the past decade, Wi-Fi signal fingerprinting algorithm has been considered as a prevalent solution for indoor positioning systems. Fingerprinting based methods require a massive database of Wi-Fi signal samples to calibrate the indoor positioning system and to achieve a high location accuracy. Traditionally the calibration procedure requires human intervention and is very time-consuming, which makes a large-scale deployments of indoor positioning systems non-trivial. Objective of this research to minimise the manual workload by combining the conventional sampling algorithm with signal prediction. In contrast to traditional algorithms, proposed method requires only few signal samples to be collected and rest of the data are approximated using Discrete Fourier Transforms. The main objective of our research is to reduce the calibration effort while maintaining an acceptable location accuracy of the indoor positioning systems.en_US
dc.identifier.doihttps://doi.org/10.32802/asmscj.2020.sm26(4.23)
dc.identifier.epage7
dc.identifier.issn1823-6782
dc.identifier.issue2020
dc.identifier.spage1
dc.identifier.urihttps://www.akademisains.gov.my/asmsj/article/the-application-of-discrete-fourier-transforms-in-reducing-the-calibration-effort/
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3567
dc.identifier.volume13
dc.language.isoen_USen_US
dc.publisherAkademi Sains Malaysiaen_US
dc.relation.ispartofASM Science Journalen_US
dc.subjectIndoor Positioning Systems, Wi-Fi Fingerprinting, RSSI Prediction, DFTen_US
dc.titleThe Application of Discrete Fourier Transforms in Reducing the Calibration Effort of Indoor Positioning Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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