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

Area of Science:

• Optoelectronics
• Wireless Communication Systems
• Signal Processing

Background:

• Visible Light Communication (VLC) is a key technology for the industrial Internet of Things (IIoT).
• Non-uniform light source parameters in VLC create signal blind zones and aliases, complicating channel estimation and limiting coverage.
• Existing methods struggle with deep coverage due to these challenges.

Purpose of the Study:

• To address the challenges of signal blind zones and channel estimation in VLC systems.
• To enhance the reliability and communication coverage of VLC in industrial applications.
• To propose a novel receiver design and adaptive blind receiving scheme.

Main Methods:

• Designed a dual-sensor elongated receiver to expand the signal receiving area.
• Developed an adaptive blind receiving scheme utilizing Gaussian mixture model parameter estimation.
• Implemented an adaptive signal combining method to unify aliased and blind receiving scenarios without prior transmitter knowledge.

Main Results:

• The dual-sensor receiver effectively expands the signal receiving area.
• The proposed scheme achieves aliased signal recovery without explicit channel estimation.
• The adaptive signal combining method successfully unifies different receiving cases.
• Simulation results confirm improved reliability and deeper communication coverage.

Conclusions:

• The proposed dual-sensor receiver and adaptive blind receiving scheme effectively mitigate VLC signal blind zones and aliases.
• This approach enhances communication reliability and extends coverage in industrial IoT settings.
• The method offers a robust solution for VLC systems with unknown transmitter parameters.