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Impact of Transmitter Positioning Uncertainty on RSS-based Visible Light Positioning Accuracy

Neha Chaudhary, Luis Nero Alves, Zabih Ghassemlooy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Citations (Scopus)
    48 Downloads (Pure)

    Abstract

    This paper presents simulation-based results of the impact of transmitter (Tx) position uncertainty on the accuracy of the received signal strength (RSS)-based visible light positioning (VLP) system considering multipath reflections. RSS-based algorithms are constrained by several factors, most notably due to multipath channel characteristics and set-up uncertainties. A study on the impact of Tx uncertainties on positioning error performance is described. Simulation results show that, positioning accuracy can be severely compromised for positioning systems with a small number of Txs. We also show that higher lighting uniformity does not necessarily imply improved positioning performance. Furthermore, the error dependence on Tx's position uncertainty reduces with increasing the number of Txs.

    Original languageEnglish
    Title of host publication2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages570-576
    Number of pages6
    ISBN (Electronic)9781728167435
    ISBN (Print)9781728160511
    DOIs
    Publication statusPublished - 20 Jul 2020
    Event12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
    Duration: 20 Jul 202022 Jul 2020

    Publication series

    Name2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020

    Conference

    Conference12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
    Country/TerritoryPortugal
    CityPorto
    Period20/07/2022/07/20

    Keywords

    • camera
    • car
    • CNN
    • Driver
    • Image Processing
    • ITS
    • OCC
    • visible light
    • VLC

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