Performance Analysis of Wavelet Packet Transform Based De-Noising Receiver for Visible Light Communication by Using Single Source

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In this paper, wavelet packet transform (WPT) based de-noising receiver for visible-light communication (VLC) using a white light-emitting diode (LED) is studied for indoor applications such as short distance wireless connectivity, optical wireless local area network, and optical wireless input / output control devise (remote control). Previously, reported discrete wavelet transform based de-noising for indoor optical wireless communication; here we considered wavelet packet transform based de-noising technique. The process starts with the evaluation of the performance of de-noising receiver by calculating the received optical power, signal noise ratio (SNR), path loss and bit error rate (BER). Throughout the simulation results, the SNR performance is inversely proportional to the distance. Analytical study of SNR for VLC system without de-noising for indoor applications has been studied. In this paper de-noising technique is considered for reduction of noise. The DWPT based de-noising receiver, with a single source improves the SNR performance approximately by 2% compared to the one without de-noising receiver.

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195-201

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October 2015

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. P. Prabakaran, A. Sivasubramanian, and K. Chitra, Wavelet Packet Transform based De-noising Receiver for Indoor Optical Wireless System, IEICE Electronics Express, Vol. 11, No. 12, pp.1-9, (2014).

DOI: 10.1587/elex.11.20140346

Google Scholar

[2] M. P. Prabakaran, A. Sivasubramanian, and K. Chitra, Performance Analysis of QAM with MEMS based SCIR for Indoor Optical Wireless Communication, Applied Mechanics and Materials, Vols. 592-594, pp.2189-2192, (2014).

DOI: 10.4028/www.scientific.net/amm.592-594.2189

Google Scholar

[3] http: /www. mathworks. in/help/wavelet/ug/about-wavelet-packet-analysis. html.

Google Scholar

[4] Kahn, J. And Barry, J. Wireless infrared communications, Proceedings of the IEEE, vol. 85, no. 02, p.265–298, (1997).

Google Scholar

[5] Mohammad Syuhaimi Ab-Rahman, Nurain izzati Shuhaimi, Luqman Al-hakim Azizan and Mazen Radhe Hassan Analytical Study of Signal to noise for visible light communication using single source, Journal of Computer Science, pp.141-144, (2012).

DOI: 10.3844/jcssp.2012.141.144

Google Scholar

[6] [M.V. Wickerhauser Adapted wavelet analysis from theory to software, Wellesely MA: A K Peters, (1994).

Google Scholar

[7] M. Sifuzzaman, M.R. Islam and M.Z. Ali, Application of Wavelet Transform and its Advantages Compared to Fourier Transform, Journal of Physical Sciences, Vol. 13, 121-134, (2011).

Google Scholar