PAM4 rolling-shutter demodulation using a pixel-per-symbol labeling neural network for optical camera communications

Yun Shen Lin, Chi Wai Chow*, Yang Liu, Yun Han Chang, Kun Hsien Lin, Yi Chang Wang, Yi Yuan Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The typical optical camera communication (OCC) modulation scheme is based on binary intensity modulation. To increase the transmission data rate, multi-level modulation format is highly desirable. In this work, we bring forward and demonstrate a rolling shutter 4-level pulse amplitude modulation (PAM4) demodulation scheme for OCC systems using pixel-per-symbol labeling neural network (PPSL-NN) for the first time up to the authors’ knowledge. A bit-rate distance product of 28.8 kbit/s • m per color is achieved. The proposed scheme is to calculate and re-sample the pixel-per-symbol (PPS) to make sure the same number of pixels in each PAM4 symbol is corresponding to a label for the neural network. Experiment results reveal that the proposed scheme can efficiently demodulate high speed PAM4 signal in the rolling shutter OCC pattern.

Original languageEnglish
Pages (from-to)31680-31688
Number of pages9
JournalOptics Express
Volume29
Issue number20
DOIs
StatePublished - 27 Sep 2021

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