Abstract

Precise position information is considered as the main enabler for the implementation of smart manufacturing systems in Industry 4.0. In this article, a time-of-flight based indoor positioning system for LiFi is presented based on the ITU - T recommendation G.9991. Our objective is to realize positioning by reusing already existing functions of the LiFi communication protocol which has been adopted by several vendors. Our positioning algorithm is based on a coarse timing measurement using the frame synchronization preamble, similar to the ranging, and a fine timing measurement using the channel estimation preamble. This approach works in various environments and it requires neither knowledge about the beam characteristics of transmitters and receivers nor the use of fingerprinting. The new algorithm is validated through both, simulations and experiments. Results in an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{1}\;{\rm{m}} \times \text{1}\;{\rm{m}} \times \text{2}\;{\rm{m}}$</tex-math></inline-formula> area indicate that G.9991-based positioning can reach an average distance error of a few centimeters in three dimension. Considering the common use of lighting in indoor environments and the availability of a mature optical wireless communication system using G.9991, the proposed LiFi positioning is a promising new feature that can be added to the existing protocols and enhance the capabilities of smart lighting systems further for the benefit of Industry 4.0.

Highlights

  • L OCALIZATION services besides reliable wireless communications are essential enablers for smart manufacturingManuscript received February 17, 2021; revised June 29, 2021; accepted June 30, 2021

  • We demonstrated an indoor positioning system for networked optical wireless communications denoted as light fidelity (LiFi)

  • The proposed positioning system is based on time-of-flight measurements between multiple optical front-ends deployed at the ceiling and a mobile device moving inside the overlapping coverage area

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Summary

Introduction

L OCALIZATION services besides reliable wireless communications are essential enablers for smart manufacturingManuscript received February 17, 2021; revised June 29, 2021; accepted June 30, 2021. L OCALIZATION services besides reliable wireless communications are essential enablers for smart manufacturing. Tools and robots are connected via wireless links to a local cloud in which the information from numerous sensors and actuators are collectively processed in order to control the entire work flow. The purpose is to react in real-time to situations and events, ideally in a proactive manner, based on a previously learned set of methods. For identifying the most appropriate method from a large data base of previously learned ones, it is essential to know the position of the tools or robots, as otherwise, the search space might be too large and it is hard to make decisions in real-time

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