Abstract
In an RGB-LED-based optical camera communication (OCC) system, the inter-symbol interference and inter-channel interference deteriorate the transmission performance considerably. In this paper, a two-dimensional CNN structure is proposed for data recovery by learning features between color channels and neighboring symbols in the rolling shutter based OCC system under random data transmission. Moreover, we further propose an XOR-based data loss compensation method to realize 21% data rate improvement by restoring the lost data during the transmission. A record-high data rate at 47 kbit/s has been experimentally achieved for an RGB-LED-based OCC system using a rolling shutter camera in a smartphone.
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