Signal decision employing density-based spatial clustering of machine learning in PAM-4 VLC system

Weixiang Yu; Xingyu Lu; Nan Chi

doi:10.1117/12.2505661

12 December 2018 Signal decision employing density-based spatial clustering of machine learning in PAM-4 VLC system

Weixiang Yu, Xingyu Lu, Nan Chi

Proceedings Volume 10849, Fiber Optic Sensing and Optical Communication; 108491D (2018) https://doi.org/10.1117/12.2505661
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

As light emitting diode (LED) based visible light communication (VLC) is getting increasingly widely used, amplitude jitter is still a common phenomenon in pulse amplitude modulation (PAM) VLC system, which deteriorates the system performance to a large extent. In this paper, we propose a novel signal decision method employing density-based spatial clustering of applications with noise (DBSCAN) of machine learning to distinguish different signal levels with jitter. Not only do we experimentally demonstrate that the Q factor of a PAM-4 VLC system employing DBSCAN is improved by up to 3.9dB, but also investigate the influence of jitter with different levels on PAM-4 system. As far as we know, this is the first time that DBSCAN has been successfully employed in PAM-4 VLC system.

Citation Download Citation

Weixiang Yu, Xingyu Lu, and Nan Chi "Signal decision employing density-based spatial clustering of machine learning in PAM-4 VLC system", Proc. SPIE 10849, Fiber Optic Sensing and Optical Communication, 108491D (12 December 2018); https://doi.org/10.1117/12.2505661

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