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47-kbit/s RGB-LED-based optical camera communication based on 2D-CNN and XOR-based data loss compensation.
Optics Express
|December 28, 2019
Summary
This study introduces a novel CNN structure and XOR-based method to improve data recovery in RGB-LED optical camera communication (OCC) systems. These advancements achieve a record 47 kbit/s data rate, overcoming interference issues.
Area of Science:
- Optoelectronics and Communication Systems
- Machine Learning for Signal Processing
- Mobile Device Communication Technologies
Background:
- Optical Camera Communication (OCC) systems using RGB-LEDs face significant performance degradation due to inter-symbol and inter-channel interference.
- Rolling shutter cameras in mobile devices introduce unique challenges for reliable data transmission in OCC systems.
- Efficient data recovery methods are crucial for enhancing the practical applicability of OCC technology.
Purpose of the Study:
- To develop an advanced data recovery technique for RGB-LED-based OCC systems utilizing rolling shutter cameras.
- To mitigate the impact of inter-symbol and inter-channel interference on data transmission quality.
- To significantly boost the achievable data rate in smartphone-based OCC applications.
Main Methods:
- A two-dimensional Convolutional Neural Network (CNN) structure was designed to learn complex features across color channels and adjacent symbols.
- The proposed CNN model effectively addresses data recovery challenges inherent in rolling shutter OCC systems with random data transmission.
- An XOR-based data loss compensation method was implemented to restore lost data packets, enhancing transmission integrity.
Main Results:
- The two-dimensional CNN structure demonstrated superior performance in learning inter-channel and inter-symbol features for accurate data recovery.
- The XOR-based compensation method successfully restored lost data, leading to a substantial 21% improvement in data rate.
- An experimental record-high data rate of 47 kbit/s was achieved in an RGB-LED OCC system using a smartphone's rolling shutter camera.
Conclusions:
- The proposed CNN and XOR-based methods provide an effective solution for improving data recovery and transmission rates in RGB-LED OCC systems.
- This research significantly advances the capabilities of mobile device-based OCC, paving the way for higher-speed wireless communication.
- The achieved record data rate highlights the potential of OCC technology for future high-throughput mobile communication applications.
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