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    Angle diversity to increase coverage and position accuracy in 3D visible light positioning

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    License
    Attribution-NonCommercial-NoDerivatives 4.0 International
    Date Issued
    2019-05
    Publisher Version
    10.1109/ICC.2019.8761558
    Author(s)
    Lam, Emily W.
    Little, Thomas D.C.
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    Permanent Link
    https://hdl.handle.net/2144/40907
    Version
    Accepted manuscript
    Citation (published version)
    Emily W. Lam, Thomas D.C. Little. 2019. "Angle Diversity to Increase Coverage and Position Accuracy in 3D Visible Light Positioning." ICC 2019 - 2019 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/ICC.2019.8761558
    Abstract
    The most common approach to light-based indoor positioning relies on multilateration of received signals to the mobile device. Any deficiencies in the fidelity of these light signals can significantly distort position estimates. In this paper, we propose a method to dynamically control the light distribution from the overhead luminaires to mitigate fading effects that would otherwise occur under static lighting. By manipulating the direction of the luminaire, effectively the dispersion pattern, we introduce signal diversity in the form of multiple pointing angles and light distributions. In addition to providing angle diversity, steering and then tracking sustains the maximal line-of-sight path between a source and receiver, which reduces angle-dependent attenuation and optimizes the signal-to-noise ratio for any coordinate without needing to change the physical properties of the source or receiver. This gain in signal strength combats the limited field-of-view of luminaires and photodiodes to provide better overall coverage, which translates directly to increase positioning accuracy, particularly in a 3D space. In the results, we show field-of-view gains of 43% and improvements in MSE of 20cm.
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    Attribution-NonCommercial-NoDerivatives 4.0 International
    Collections
    • ENG: Electrical and Computer Engineering: Scholarly Papers [257]
    • BU Open Access Articles [3730]


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