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

Rajbhandari, Sujan, Ghassemlooy, Zabih and Angelova, Maia (2010) A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication. In: 7th International Symposium on Communication Systems Networks and Digital Signal processing (CSNDSP), 21-23 July 2010, Northumbria University, Newcastle upon Tyne.

[img]
Preview
PDF (Article)
Rajbhandari, Ghassemlooy, Angelova - a study of discrete wavelet transform based denoising.....article.pdf

Download (515kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: digital pulse interval modulation , discrete wavelet transform , high pass filtering , indoor optical wireless communication , on-off keying , optical power penalty , pulse position modulation
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Related URLs:
Depositing User: EPrint Services
Date Deposited: 10 Sep 2010 11:14
Last Modified: 17 Dec 2023 13:19
URI: https://nrl.northumbria.ac.uk/id/eprint/3528

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics