Abstract

This paper elucidates the fundamentals of visible light communication systems that use the rolling shutter mechanism of CMOS sensors. All related information involving different subjects, such as photometry, camera operation, photography and image processing, are studied in tandem to explain the system. Then, the system performance is analyzed with respect to signal quality and data rate. To this end, a measure of signal quality, the signal to interference plus noise ratio (SINR), is formulated. Finally, a simulation is conducted to verify the analysis.

Highlights

  • There are two types of light receivers that can be used for visible light communication (VLC): photo diodes and image sensors

  • The performance of the VLC system using the CMOS rolling shutter mechanism will be analyzed with respect to two major aspects: signal quality and data rate

  • The results show that signal to interference plus noise ratio (SINR) decreases when either exposure time or the LED frequency increases

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Summary

Introduction

There are two types of light receivers that can be used for visible light communication (VLC): photo diodes and image sensors. There are some approaches for achieving a high data rate using an image sensor. The third approach takes advantage of the rolling shutter mechanism of CMOS sensors to receive multiple bits modulated at a high frequency within one frame [1]. In [1], the concept of using the rolling shutter effect of CMOS sensors for VLC has been proposed This technique has been reviewed in many studies [3,4,5,6,7]. Given a camera with a specific frame rate, there is a question of how high of a data rate can be achieved; or one might ask which setting should be changed to improve the signal quality.

Rolling Shutter Mechanism and its Advantage in VLC
Frame Rate in a CMOS Sensor Camera
Calculating Pixel Value
Calculating the Pixel Value from the Raw Output Value
Calculating the Pixel Value from the Luminous Exposure Ratio
Calculating Luminous Exposure Ratio from Exposure Difference
Photometry of LED and Ambient Light
Performance Analysis of the System
Signal Quality
Intersymbol Interference
Ambient Light Noise
Data Rate
Required Distance from LED to Camera
Simulation Environment
Simulation and Calculation Procedure
Simulation Results
Conclusions
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