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Adaptive blind receiving for deep VLC coverage in non-uniform LED systems. | LitMetric

AI Article Synopsis

  • Visible Light Communication (VLC) is gaining traction in the industrial Internet of Things, but issues like signal blind zones and channel estimation hinder its effectiveness.* -
  • To address these challenges, the paper introduces a dual-sensor elongated receiver that enhances the signal receiving area and recovers aliased signals without needing prior channel estimation.* -
  • The proposed adaptive blind receiving scheme leverages Gaussian mixture models to effectively separate aliased signals, leading to improved reliability and communication coverage in VLC systems.*

Article Abstract

Recently, visible light communication (VLC) has become a promising technology for reliable communication in the industrial Internet of Things. In VLC, light sources with non-uniform parameters make uncontrollable signal blind zones and aliases. The unknown parameters also lead to the problem of channel estimation. Hence, deep coverage of VLC is challenging. In this paper, we design a dual-sensor elongated receiver. The receiver expands the signal receiving area by increasing the distance between photon detectors and realizes aliased signal recovery without channel estimation. Cooperatively, an adaptive blind receiving scheme is proposed. The scheme separates aliased signals by parameter estimation of a Gaussian mixture model without knowing transmitter parameters. It unifies the aliased and blind receiving cases by an adaptive signal combining method. Finally, the simulation results demonstrate that our scheme achieves better reliability and deeper communication coverage in the given system.

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Source
http://dx.doi.org/10.1364/AO.475663DOI Listing

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