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

Author

Dickenson, Robert J. ; Ghassemlooy, Z.

Author_Institution

Sheffield Hallam Univ., Sheffied, UK

Volume

10

Issue

2

fYear

2003

fDate

4/1/2003 12:00:00 AM

Firstpage

64

Lastpage

72

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.

Keywords

bandlimited communication; feature extraction; neural nets; optical receivers; optical signal detection; time-frequency analysis; wavelet transforms; RF techniques; artificial intelligence; artificial neural networks; bandwidth limiting channel-induced distortion; channel imperfections; diffuse indoor infrared communication systems; diffuse optical wireless communications; feature extraction; multiresolution time-frequency feature extraction; pattern recognition; receiver system; signal detection; wavelet analysis; Artificial intelligence; Feature extraction; Optical distortion; Optical receivers; Pattern analysis; Pattern recognition; Signal analysis; Signal detection; Wavelet analysis; Wireless communication;

fLanguage

English

Journal_Title

Wireless Communications, IEEE

Publisher

ieee

ISSN

1536-1284

Type

jour

DOI

10.1109/MWC.2003.1196404

Filename

1196404