Wavelet—Artificial Neural Network Receiver for Indoor Optical Wireless Communications

Sujan Rajbhandari, Zabih Ghassemlooy, Maia Angelova

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

The multipath induced intersymbol interference (ISI) and fluorescent light interference (FLI) are the two most important system impairments that affect the performance of indoor optical wireless communication (OWC) systems. The presence of either incurs a high optical power penalty (OPP) and hence the interferences should be mitigated with suitable techniques to ensure optimum system performance. The discrete wavelet transform (DWT) and the artificial neural network (ANN) based receiver to mitigate the effect of FLI and ISI has been proposed in the previous study for the one-off keying (OOK) modulation scheme. It offers performance improvement compared to the traditional methods of employing a high pass filter (HPF) and a finite impulse response (FIR) equalizer. In this paper, the investigation of the DWT-ANN based receiver for baseband modulation techniques including OOK, pulse position modulation (PPM) and digital pulse interval modulation (DPIM) are reported. The proposed system is implemented using digital signal processing (DSP) board and results are verified by comparison with simulation data.
Original languageEnglish
Pages (from-to)2651-2659
JournalJournal of Lightwave Technology
Volume29
Issue number17
DOIs
Publication statusPublished - 18 Jul 2011

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