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Adaptive feedback threshold based demodulation for mobile visible light communication and positioning integrated

Jianli Jin, Huimin Lu, Jianping Wang

|April 27, 2022

Summary

A novel adaptive feedback threshold (AFT) improves mobile visible light communication and positioning (VLCP) systems. This method ensures reliable data transmission and precise location tracking for moving devices.

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Area of Science:

Optical Communications
Wireless Positioning Systems
Signal Processing

Background:

Mobile visible light communication and positioning (VLCP) systems face challenges in maintaining performance under dynamic conditions.
Existing demodulation techniques may struggle with signal fluctuations in mobile environments, impacting both communication and positioning accuracy.

Purpose of the Study:

To propose and evaluate a novel adaptive feedback threshold (AFT) based demodulation technique for integrated mobile VLCP systems.
To enhance the reliability of communication and the accuracy of positioning in mobile VLCP applications.

Main Methods:

Development of an adaptive feedback threshold (AFT) based demodulation algorithm.
Implementation of maximal ratio combining (MRC) for communication and received optical power ratio (ROPR) for positioning, both utilizing the AFT.
Experimental evaluation of the VLCP system with a single light-emitting diode (LED) and multiple photodetectors (PDs) under mobile conditions (1 m/s).

Main Results:

The proposed AFT based demodulation enables high-credible communication and high-accuracy positioning for mobile VLCP systems.
Experimental results show an average positioning error of 3.43 cm at 800 mA current.
Bit error ratio (BER) performance was evaluated across different current levels.

Conclusions:

The AFT based demodulation is effective in supporting robust communication and precise positioning for mobile VLCP systems.
The AFT allows signal variation without excessive fluctuation, crucial for dynamic environments.
The integrated VLCP system demonstrates practical feasibility for real-world mobile applications.