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RSS-based visible light positioning with unknown receiver tilting angle: robust design and experimental

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    This study introduces a new visible light positioning (VLP) system that accurately determines location indoors without needing to know the receiver

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    Area of Science:

    • Optoelectronics and Optical Communications
    • Indoor Positioning Systems
    • Signal Processing

    Background:

    • Received Signal Strength (RSS)-based indoor visible light positioning (VLP) typically requires known receiver parameters.
    • Unknown receiver characteristics, such as receiving angle and coefficient, pose challenges for accurate VLP.
    • Existing VLP methods often lack robustness to variations in receiver orientation and properties.

    Purpose of the Study:

    • To develop a novel VLP scheme for accurate indoor positioning using RSS.
    • To jointly estimate receiver coordinates and receiver characteristic vectors without prior knowledge.
    • To enhance robustness against unknown receiving angles and coefficients.

    Main Methods:

    • A novel VLP scheme is proposed, jointly estimating receiver coordinates and characteristic vectors.
    • The estimation problem is reformulated to maximize the projection of the RSS vector onto a measurement matrix's column space.
    • An Importance Sampling (IS) method is introduced to reduce computational complexity.

    Main Results:

    • The proposed scheme achieves stable positioning accuracy below 7 cm in experimental settings.
    • Demonstrated robustness to variations in receiving coefficients and angles.
    • Performance remains stable despite different receiver tilting angles and height perturbations within a defined space.

    Conclusions:

    • The novel VLP scheme effectively addresses the challenge of unknown receiver characteristics.
    • The proposed method offers a robust and accurate solution for indoor positioning using visible light.
    • The Importance Sampling approach provides a computationally efficient alternative for VLP.