A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication

The optical power penalty (OPP) due to the artificial light interferences (ALIs) can be significantly high in an indoor optical wireless communication (OWC) channel making such link practically infeasible. A discrete wavelet transform (DWT) is an effective technique in reducing the ALI effects. The DWT has the advantage over the high pass filtering (HPF) to reduce ALI in terms of complexity and performance. In this paper, a comprehensive study of the DWT based denoising for the on-off keying (OOK), pulse position modulation (PPM) and digital pulse interval modulation (DPIM) is provided. The OPPs due to ALIs and DWT based denoising for these modulation techniques are presented.

[1]  Joseph M. Kahn,et al.  Differential pulse-position modulation for power-efficient optical communication , 1999, IEEE Trans. Commun..

[2]  Dominic C. O'Brien,et al.  High data rate multiple input multiple output (MIMO) optical wireless communications using white led lighting , 2009, IEEE Journal on Selected Areas in Communications.

[3]  C. Burrus,et al.  Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .

[4]  Z. Ghassemlooy,et al.  Effective Denoising and Adaptive Equalization of Indoor Optical Wireless Channel With Artificial Light Using the Discrete Wavelet Transform and Artificial Neural Network , 2009, Journal of Lightwave Technology.

[5]  Marc Ihle,et al.  EMC ’ 09 / Kyoto Artificial Lighting Interference on Free Space Photoelectric Systems , 2009 .

[6]  Matthew D. Higgins,et al.  Recent developments in indoor optical wireless [Optical wireless communications] , 2008, IET Commun..

[7]  Rui Valadas,et al.  Optical interference produced by artificial light , 1997, Wirel. Networks.

[8]  Zabih Ghassemlooy,et al.  Performance of the Wavelet Transform-Neural Network Based Receiver for DPIM in Diffuse Indoor Optical Wireless Links in Presence of Artificial Light Interference , 2009 .

[9]  Rui Valadas,et al.  Performance of infrared transmission systems under ambient light interference , 1996 .

[10]  R. Green,et al.  Recent Developments in Indoor Optical Wireless Systems , 2011 .

[11]  Ravi Narasimhan,et al.  Effect of electronic-ballast fluorescent lighting on wireless infrared links , 1996, Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications.

[12]  Thomas Sphicopoulos,et al.  Performance analysis of space time block coding techniques for indoor optical wireless systems , 2009, IEEE Journal on Selected Areas in Communications.

[13]  Andrew Robert Hayes,et al.  Digital pulse interval modulation for indoor optical wireless communication systems , 2002 .

[14]  Jeffrey B. Carruthers,et al.  Wireless infrared communications , 2003, Proc. IEEE.

[15]  Zabih Ghassemlooy,et al.  Baseline-wander effects on systems employing digital pulse-interval modulation , 2000 .