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Proceedings Paper

CIR fast approximation for closed space VLC transmission with the use of a trained artificial neural network
Author(s): P. Kowalik; M. Kowalczyk
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Paper Abstract

The channel impulse response (CIR) fast approximation approach for the visible light communication (VLC) in closed spaces based on a previously trained model of artificial neural networks of deep learning (ANN-DL) was presented. There were used during the training sets the CIRs characteristics, obtained on a way of numerical simulations based on modified Monte Carlo ray tracing algorithm (MMC). The Matlab Deep Learning Toolbox software library was applied as the environment to the model preparation.

Paper Details

Date Published: 6 November 2019
PDF: 7 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117603 (6 November 2019);
Show Author Affiliations
P. Kowalik, Warsaw Univ. of Technology (Poland)
M. Kowalczyk, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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