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Thresholding schemes for visible light communications with CMOS camera using entropy-based algorithms.

Kevin Liang, Chi-Wai Chow, Yang Liu

|November 10, 2016

Summary

This summary is machine-generated.

This study introduces two novel entropy thresholding algorithms for visible light communication (VLC) using complementary-metal-oxide-semiconductor (CMOS) cameras. These methods improve data demodulation, enhancing VLC system performance.

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Area of Science:

Optical Communications
Signal Processing

Background:

Visible light communication (VLC) traditionally relies on PIN and avalanche photodiodes (APDs).
Complementary-metal-oxide-semiconductor (CMOS) cameras offer an attractive alternative for VLC systems.
The rolling shutter effect in CMOS cameras can enhance VLC data rates, but requires effective demodulation techniques.

Purpose of the Study:

To propose and demonstrate novel entropy thresholding algorithms for VLC using CMOS cameras.
To improve the demodulation of rolling shutter patterns for enhanced data integrity.
To evaluate the performance of new thresholding methods against existing techniques.

Main Methods:

Development of two entropy thresholding algorithms: maximum entropy and minimum cross entropy.
Application of smoothing techniques to preprocess the rolling shutter pattern.
Experimental evaluation of the proposed algorithms' bit-error-rate (BER) and efficiency.

Main Results:

Successful demonstration of two new entropy thresholding algorithms for CMOS-based VLC.
Comparison of BER performance and efficiency between maximum and minimum cross entropy thresholding.
Validation of the proposed methods for distinguishing data logic in rolling shutter patterns.

Conclusions:

Entropy thresholding algorithms offer a promising approach for improving VLC data demodulation with CMOS cameras.
The proposed maximum and minimum cross entropy methods provide effective solutions for enhancing VLC system performance.
Further research can explore optimizing these algorithms for diverse VLC environments.