Haigh, Paul, Burton, Andrew, Chvojka, Petr, Zvanovec, Stanislav, Ghassemlooy, Zabih and Darwazeh, Izzat (2020) Visible Light Communications: Filter-less Wavelength Division Multiplexing. In: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, pp. 1-5. ISBN 9781728160511; 9781728167435
|
Text
1570636114.pdf - Published Version Download (3MB) | Preview |
Abstract
In this paper, we propose a new receiver and demodulation method for use in wavelength division multiplexed visible light communications systems, utilising the natural diversity offered by photodiodes. This is based on the wavelength dependent photodiode responsivities, which lead to different signal-to-noise ratios at the receiver. Using this method, it is possible to transmit independent information using on different wavelengths but where signals occupy the same electrical frequency range and where they would, otherwise, interfere. We illustrate and experimentally demonstrate that through simple subtractions the signals can be extracted with the constellations showing Q-factors corresponding to sufficiently low bit error rates.
Item Type: | Book Section |
---|---|
Additional Information: | Funding Information: This work is supported by the UK EPSRC grant EP/P006280/1: MARVEL, CTU Prague and KU Leuven (CELSA) project “Polarization In wireless CommuNICations (PICNIC)” and by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no 764461 (VISION). |
Uncontrolled Keywords: | Digital signal processing, non-orthogonal, optical communications, visible light communications, wavelength division multiplexing |
Subjects: | G400 Computer Science H600 Electronic and Electrical Engineering |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | Rachel Branson |
Date Deposited: | 20 May 2021 13:01 |
Last Modified: | 31 Jul 2021 16:20 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/46231 |
Downloads
Downloads per month over past year