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10 - Mathematical Sciences

University of Northumbria at Newcastle

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Output 42 of 42 in the submission

Article title

Wavelet-Artificial Neural Network Receiver for Indoor Optical Wireless Communications

Type

D - Journal article

DOI

10.1109/JLT.2011.2162397

Title of journal

Journal of Lightwave Technology

Article number

Volume number

Issue number

First page of article

2651

ISSN of journal

1558-2213

Year of publication

2011

URL

http://dx.doi.org/10.1109/JLT.2011.2162397

Number of additional authors

Additional information

Professor Angelova’s 2009 theoretical model (Rajbhandari, Ghassemlooy & Angelova, Journal of Lightwave Technology, 27, 20, 4493) is developed to combat the effects of multipath-induced intersymbol interference and fluorescent light interference; the two most important system impairments for indoor optical wireless communication systems. Scheme is also implemented using a Digital Signal Processing board for the first time (and without performance penalty) and results are verified using simulation data. Angelova was the mathematical lead on this interdisciplinary research; results of which led to invited keynote presentation (6th conference on Optics and Applications, Thailand 2011) and invited lecture at University Technology Malaysia (2011).

Interdisciplinary

Yes

Cross-referral requested

15 - General Engineering

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract