Indoor localization based on multiple LEDs position estimation

Olaoluwa Rotimi Popoola, F.B. Ogunkoya, Wasiu O. Popoola, Roberto Ramirez-Iniguez, Sinan Sinanovic

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

    10 Citations (Scopus)
    250 Downloads (Pure)


    This paper describes the simulation results and hardware implementation of an inexpensive, low-complexity LED based indoor positioning system. Localization by multiple LEDs estimation model (MLEM) approximates position of a mobile receiver by the acquisition of positional information from LED transmitters. Multiple LED orientation can either be with or without overlap. Receivers in a no-overlap LED orientation experience only single access while multiple access receivers are designed for orientations with overlaps. Single and multiple access systems were developed and implemented by the use of low cost ATMEG 328 microcontroller. Since multiple LEDs transmit data at the same wavelength and are asynchronous, overlap in multiple access system causes interference. The possibility of this interference is reduced by packet based pulse duration multiplexing (PDM) and a low duty cycle transmission protocol. By the use of MLEM, root mean square error in position estimation is reduced to about 1 percent of the length an indoor location. Experimental results show that overlap increases positional accuracy over a wider coverage region and that the multiple access system allows for a more reliable positioning.
    Original languageEnglish
    Title of host publication2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
    Place of PublicationEdinburgh, UK
    ISBN (Electronic)9781509017492
    ISBN (Print)9781509017492
    Publication statusPublished - 11 Aug 2016


    • LEDs
    • simulation analysis
    • transmitters
    • Microcontroller-based positioning
    • Indoor localization
    • Multiple LEDs
    • optical wireless communications
    • Overlap

    ASJC Scopus subject areas

    • Information Systems
    • Electrical and Electronic Engineering
    • Computer Science Applications


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