SVM-based detection in visible light communications

Youli Yuan, Min Zhang, Pengfei Luo, Zabih Ghassemlooy, Lei Lang, Danshi Wang, Bo Zhang, Dahai Han

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)


A support vector machine (SVM)-based data detection for 8-superposed pulse amplitude modulation and direct-current-biased optical orthogonal frequency division multiplexing in visible light communication is proposed and experimentally demonstrated. In this work, the SVM detector contains multiple binary classifiers with different classification strategies. The separating hyperplane of each SVM is constructed by means of the training data. The experiment results presented that the SVM detection offers improved bit error rate performance compared with the traditional direct decision method.
Original languageEnglish
Pages (from-to)55-64
JournalOptik - International Journal for Light and Electron Optics
Early online date30 Aug 2017
Publication statusPublished - Dec 2017


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