A feature extraction and pattern recognition receiver employing wavelet analysis and artificial intelligence for signal detection in diffuse optical wireless communications

Dickenson, Robert and Ghassemlooy, Zabih (2003) A feature extraction and pattern recognition receiver employing wavelet analysis and artificial intelligence for signal detection in diffuse optical wireless communications. IEEE Wireless Communications, 10 (2). pp. 64-72. ISSN 1536-1284

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Official URL: http://dx.doi.org/10.1109/MWC.2003.1196404

Abstract

Optical wireless diffuse indoor infrared communication systems have as yet large unrealized bandwidths that are not subject to the same regulatory control as radio frequency systems. Usually, well established RF techniques are used to combat channel imperfections for IR implementations. Here, we introduce a novel receiver system based on the multiresolution time-frequency feature extraction capabilities of wavelet analysis, coupled with the well recognized pattern recognition performance of artificial neural networks for mitigating the effects of bandwidth limiting channel-induced distortion.

Item Type: Article
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 25 Apr 2014 09:39
Last Modified: 10 Aug 2015 11:37
URI: http://nrl.northumbria.ac.uk/id/eprint/16142

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