Citation

Alias, Mohamad Yusoff and Omar, Nazaruddin and Salleh, Mohd Kamarulzamin and Hussein, Yaseein Soubhi and Abdulkafi, Ayad Atiyah (2018) Expectation-maximization-based channel estimation algorithm for OFDM visible light communication systems. International Journal of Engineering and Technology(UAE), 7 (4). pp. 2638-2645. ISSN 2227-524X

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Abstract

The tremendous growth of indoor communication requires increased capacity and appropriate quality of services. Visible light communica-tion (VLC) is a green technology that shows great promise in terms of its ability to meet the demand for communication services. Orthogo-nal frequency division multiplexing (OFDM) enables VLC to provide a higher data rate and to combat inter-symbol interference. However, an accurate and efficient channel estimation method is needed for coherent demodulation at the receiver end of an OFDM system. In this paper, a new algorithm for OFDM-based VLC systems is proposed. The algorithm is based on expectation maximization and is called the expectation maximization for visible light communication (EM-VLC) algorithm. The algorithm is implemented to find the maximum-likelihood (ML) estimation of the channel impulse response and to find unknown parameters. In addition, a low-rank minimum mean square error (lr-MMSE) estimator algorithm is developed and its performance is compared with least squares (LS) and minimum mean square error (MMSE) estimators. The proposed EM-VLC algorithm improves the performance of OFDM VLC systems by significantly reducing the bit error rate (BER) and consequently increasing system throughput. The simulation results demonstrate that the EM-VLC algorithm outper-forms the three channel estimation algorithms, LS, MMSE and lr-MMSE.

Item Type:	Article
Uncontrolled Keywords:	Orthogonal frequency division multiplexing, Bit Error Rate, Channel Estimation, Expectation Maximization, Optical OFDM Visible Light Communication.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	27 Jul 2021 01:47
Last Modified:	27 Jul 2021 01:47
URII:	http://shdl.mmu.edu.my/id/eprint/7687

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