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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.