Distance and position estimation in visible light systems with RGB LEDs
buir.contributor.author | Gezici, Sinan | |
dc.citation.epage | 14 | en_US |
dc.citation.spage | 1 | en_US |
dc.citation.volumeNumber | 123 | en_US |
dc.contributor.author | Demirel, I. | |
dc.contributor.author | Gezici, Sinan | |
dc.date.accessioned | 2023-02-20T06:25:57Z | |
dc.date.available | 2023-02-20T06:25:57Z | |
dc.date.issued | 2022-01-17 | |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | In this paper, distance and position estimation problems are investigated for visible light positioning (VLP) systems with red-green-blue (RGB) light emitting diodes (LEDs). The accuracy limits on distance and position estimation are calculated in terms of the Cramér-Rao lower bound (CRLB) for three different scenarios. Scenario 1 and Scenario 2 correspond to synchronous and asynchronous systems, respectively, with known channel attenuation formulas at the receiver. In Scenario 3, a synchronous system is considered but channel attenuation formulas are not known at the receiver. The derived CRLB expressions reveal the relations among distance/position estimation accuracies in the considered scenarios and lead to intuitive explanations for the benefits of using RGB LEDs. In addition, maximum likelihood (ML) estimators are derived in all scenarios, and it is shown that they can achieve close performance to the CRLBs in some cases for sufficiently high source optical powers. © 2022 Elsevier Inc. | en_US |
dc.description.provenance | Submitted by Ferman Özavinç (ferman.ozavinc@bilkent.edu.tr) on 2023-02-20T06:25:57Z No. of bitstreams: 1 Distance and position estimation in visible light systems with RGB LEDs.pdf: 821178 bytes, checksum: 01b57dc83b2392d6cd30deb324d1eade (MD5) | en |
dc.description.provenance | Made available in DSpace on 2023-02-20T06:25:57Z (GMT). No. of bitstreams: 1 Distance and position estimation in visible light systems with RGB LEDs.pdf: 821178 bytes, checksum: 01b57dc83b2392d6cd30deb324d1eade (MD5) Previous issue date: 2022-01-17 | en |
dc.identifier.doi | 10.1016/j.dsp.2022.103423 | en_US |
dc.identifier.eissn | 1095-4333 | |
dc.identifier.issn | 1051-2004 | |
dc.identifier.uri | http://hdl.handle.net/11693/111538 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | https://dx.doi.org/10.1016/j.dsp.2022.103423 | en_US |
dc.source.title | Digital Signal Processing | en_US |
dc.subject | Cramér-Rao lower bound | en_US |
dc.subject | LED | en_US |
dc.subject | Maximum likelihood estimation | en_US |
dc.subject | Positioning | en_US |
dc.subject | RGB | en_US |
dc.subject | Visible light | en_US |
dc.title | Distance and position estimation in visible light systems with RGB LEDs | en_US |
dc.type | Article | en_US |
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