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dc.contributor.authorMondal, Riaz
dc.contributor.authorTurkka, Jussi
dc.contributor.authorRistaniemi, Tapani
dc.date.accessioned2017-12-12T06:45:22Z
dc.date.available2017-12-12T06:45:22Z
dc.date.issued2014
dc.identifier.citationMondal, R., Turkka, J., & Ristaniemi, T. (2014). An efficient grid-based RF fingerprint positioning algorithm for user location estimation in heterogeneous small cell networks. In <i>Proceedings of 2014 International conference on localization and GNSS (ICL-GNSS)</i> (pp. 1-5). IEEE. International Conference on Localization and GNSS. <a href="https://doi.org/10.1109/ICL-GNSS.2014.6934169" target="_blank">https://doi.org/10.1109/ICL-GNSS.2014.6934169</a>
dc.identifier.otherCONVID_23962616
dc.identifier.otherTUTKAID_63559
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56256
dc.description.abstractThis paper proposes a novel technique to enhance the performance of grid-based Radio Frequency (RF) fingerprint position estimation framework. First enhancement is an introduction of two overlapping grids of training signatures. As the second enhancement, the location of the testing signature is estimated to be a weighted geometric center of a set of nearest grid units whereas in a traditional grid-based RF fingerprinting only the center point of the nearest grid unit is used for determining the user location. By using the weighting-based location estimation, the accuracy of the location estimation can be improved. The performance evaluation of the enhanced RF fingerprinting algorithm was conducted by analyzing the positioning accuracy of the RF fingerprint signatures obtained from a dynamic system simulation in a heterogeneous LTE small cell environment. The performance evaluation indicates that if the interpolation is based on two nearest grid units, then a maximum of 18.8% improvement in positioning accuracy can be achieved over the conventional approach.
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProceedings of 2014 International conference on localization and GNSS (ICL-GNSS)
dc.relation.ispartofseriesInternational Conference on Localization and GNSS
dc.subject.othergrid-based RF fingerprint
dc.subject.otherKullback-Leibler divergence
dc.subject.otherminimization of drive tests
dc.titleAn efficient grid-based RF fingerprint positioning algorithm for user location estimation in heterogeneous small cell networks
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201712114593
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2017-12-11T07:15:11Z
dc.relation.isbn978-1-4799-5123-9
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1-5
dc.relation.issn2325-0747
dc.type.versionacceptedVersion
dc.rights.copyright© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational conference on localization and GNSS
dc.relation.doi10.1109/ICL-GNSS.2014.6934169
dc.type.okmA4


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