研究目的
Investigating the noise in Visible Light Communication (VLC) systems using Allan Variance for the first time to measure different kinds of noise and model them to improve VLC performance.
研究成果
The study successfully applies Allan variance for noise measurement in VLC systems, identifying and modeling white noise and random walk. The method provides a way to improve VLC performance by understanding and mitigating these noise types.
研究不足
The study focuses on white noise and random walk in VLC systems, acknowledging that other noises such as drift ramp and flicker noise have not yet been identified and require future studies.
1：Experimental Design and Method Selection:
The study introduces Allan Variance for noise analysis in VLC systems, providing a method to measure different kinds of noise.
2：Sample Selection and Data Sources:
Signals are collected from a real-world environment in a large office at Southeast University, Wuxi, China, using a photodetector and STM32 development board for signal processing.
3：List of Experimental Equipment and Materials:
Includes a photodetector modeled Texas Instrument OPT101, STM32 development board, and a 10W LED lamp.
4：Experimental Procedures and Operational Workflow:
The LED is modulated using PWM waves, and the received signal is processed by the signal amplifier and digital processor, then sent to noise measurement module.
5：Data Analysis Methods:
Allan variance is used to analyze the noise, identifying white noise and random walk in the VLC systems.
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