Visible light positioning (VLP) systems provide higher accuracy and lower cost, more suitable for indoor positioning compared to their radio-frequency (RF) counterparts. And the VLP system based on received signal strength (RSS) is widely used due to the lowest hardware cost. However, existing RSS-VLP systems are usually sensitive to reflections and shadows. In this paper, we propose a VLP framework with an adaptive algorithm module, a diversity module, and a combination module. Simulations show that in the presence of reflections and shadows, this positioning framework can achieve an average error below 15 cm in a 5 m × 5 m area. Moreover, in case of severe blocking, its positioning error is even an order of magnitude lower than that of the typical RSS-VLP method.


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    Titel :

    Indoor 3D Adaptive Visible Light Positioning Framework with Resistance to Shadows and Reflections


    Beteiligte:
    Li, Linchao (Autor:in) / Tang, Pan (Autor:in) / Tong, Yu (Autor:in) / Liu, Shuo (Autor:in) / Yin, Yue (Autor:in) / Zhang, Jianhua (Autor:in)


    Erscheinungsdatum :

    2023-10-10


    Format / Umfang :

    3767066 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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