Optimal beam radius for LED-based indoor positioning algorithm

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Indoor positioning systems have the potential to replicate the success of outdoor positioning systems, but owing to the expensive and less accurate technology currently available for indoor positioning, they have not been able to take-off. LED-based Visible Light Communication (VLC) systems can solve this problem, but owing to complex algorithms and unoptimized parameter values the desired accuracy has not yet been achieved. This research addresses the problem of overlapping light radiation regions, which leads to lower accuracy in a VLC system, and proposes an algorithm to accurately determine the position of a device with respect to pre-positioned LEDs when it is receiving signal from multiple transmitting LEDs. To check the accuracy of this Optimal Beam Radius Indoor Positioning (OBRIP) algorithm numerous possible positions of a device uniformly distributed in a room with an indoor positioning system have been simulated to calculate the error in position estimation. Also, from the simulations, optimal values for beam radius, for a given number of LEDs in an array, separation between adjacent LEDs in an array for different room shapes has been calculated.
    Original languageEnglish
    Title of host publication2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings
    EditorsZeyad Yousif Abdoon Al-Shibaany, Atheer F. Hameed
    PublisherIEEE
    ISBN (Electronic)9781467390538
    ISBN (Print)9781467390286
    DOIs
    Publication statusPublished - 9 Jan 2017

    Fingerprint

    Light emitting diodes
    Communication systems
    Takeoff
    Radiation
    Visible light communication
    Indoor positioning systems

    Keywords

    • LEDs
    • optimal beam radius
    • algorithms

    Cite this

    Ajmani, M., Sinanovic, S., & Boutaleb, T. (2017). Optimal beam radius for LED-based indoor positioning algorithm. In Z. Y. A. Al-Shibaany, & A. F. Hameed (Eds.), 2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings IEEE. https://doi.org/10.1109/ICSAE.2016.7810217
    Ajmani, Manisha ; Sinanovic, Sinan ; Boutaleb, Tuleen. / Optimal beam radius for LED-based indoor positioning algorithm. 2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings. editor / Zeyad Yousif Abdoon Al-Shibaany ; Atheer F. Hameed. IEEE, 2017.
    @inproceedings{907fb91eb2b249f8bf17a1d8ab977d74,
    title = "Optimal beam radius for LED-based indoor positioning algorithm",
    abstract = "Indoor positioning systems have the potential to replicate the success of outdoor positioning systems, but owing to the expensive and less accurate technology currently available for indoor positioning, they have not been able to take-off. LED-based Visible Light Communication (VLC) systems can solve this problem, but owing to complex algorithms and unoptimized parameter values the desired accuracy has not yet been achieved. This research addresses the problem of overlapping light radiation regions, which leads to lower accuracy in a VLC system, and proposes an algorithm to accurately determine the position of a device with respect to pre-positioned LEDs when it is receiving signal from multiple transmitting LEDs. To check the accuracy of this Optimal Beam Radius Indoor Positioning (OBRIP) algorithm numerous possible positions of a device uniformly distributed in a room with an indoor positioning system have been simulated to calculate the error in position estimation. Also, from the simulations, optimal values for beam radius, for a given number of LEDs in an array, separation between adjacent LEDs in an array for different room shapes has been calculated.",
    keywords = "LEDs, optimal beam radius, algorithms",
    author = "Manisha Ajmani and Sinan Sinanovic and Tuleen Boutaleb",
    note = "Accepted: 23/7/16 Query re the acceptance email as this refers to a poster (author confirmed this means the paper 30/9/16) Online pub: PUBLISHED NOW, SEE DOI UPDATED AAM: uploaded 27/9/16; no embargo as IEEE publication",
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    Ajmani, M, Sinanovic, S & Boutaleb, T 2017, Optimal beam radius for LED-based indoor positioning algorithm. in ZYA Al-Shibaany & AF Hameed (eds), 2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings. IEEE. https://doi.org/10.1109/ICSAE.2016.7810217

    Optimal beam radius for LED-based indoor positioning algorithm. / Ajmani, Manisha; Sinanovic, Sinan; Boutaleb, Tuleen.

    2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings. ed. / Zeyad Yousif Abdoon Al-Shibaany; Atheer F. Hameed. IEEE, 2017.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Sinanovic, Sinan

    AU - Boutaleb, Tuleen

    N1 - Accepted: 23/7/16 Query re the acceptance email as this refers to a poster (author confirmed this means the paper 30/9/16) Online pub: PUBLISHED NOW, SEE DOI UPDATED AAM: uploaded 27/9/16; no embargo as IEEE publication

    PY - 2017/1/9

    Y1 - 2017/1/9

    N2 - Indoor positioning systems have the potential to replicate the success of outdoor positioning systems, but owing to the expensive and less accurate technology currently available for indoor positioning, they have not been able to take-off. LED-based Visible Light Communication (VLC) systems can solve this problem, but owing to complex algorithms and unoptimized parameter values the desired accuracy has not yet been achieved. This research addresses the problem of overlapping light radiation regions, which leads to lower accuracy in a VLC system, and proposes an algorithm to accurately determine the position of a device with respect to pre-positioned LEDs when it is receiving signal from multiple transmitting LEDs. To check the accuracy of this Optimal Beam Radius Indoor Positioning (OBRIP) algorithm numerous possible positions of a device uniformly distributed in a room with an indoor positioning system have been simulated to calculate the error in position estimation. Also, from the simulations, optimal values for beam radius, for a given number of LEDs in an array, separation between adjacent LEDs in an array for different room shapes has been calculated.

    AB - Indoor positioning systems have the potential to replicate the success of outdoor positioning systems, but owing to the expensive and less accurate technology currently available for indoor positioning, they have not been able to take-off. LED-based Visible Light Communication (VLC) systems can solve this problem, but owing to complex algorithms and unoptimized parameter values the desired accuracy has not yet been achieved. This research addresses the problem of overlapping light radiation regions, which leads to lower accuracy in a VLC system, and proposes an algorithm to accurately determine the position of a device with respect to pre-positioned LEDs when it is receiving signal from multiple transmitting LEDs. To check the accuracy of this Optimal Beam Radius Indoor Positioning (OBRIP) algorithm numerous possible positions of a device uniformly distributed in a room with an indoor positioning system have been simulated to calculate the error in position estimation. Also, from the simulations, optimal values for beam radius, for a given number of LEDs in an array, separation between adjacent LEDs in an array for different room shapes has been calculated.

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    Ajmani M, Sinanovic S, Boutaleb T. Optimal beam radius for LED-based indoor positioning algorithm. In Al-Shibaany ZYA, Hameed AF, editors, 2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings. IEEE. 2017 https://doi.org/10.1109/ICSAE.2016.7810217