Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.2231
Publisher DOI: 10.1109/JPHOT.2024.3357169
Title: Dispersive Optical Wireless Indoor Channels—From Frequency-Domain Modeling to Bit-Error-Rate Prediction
Language: English
Authors: Schulze, Henrik 
Mietzner, Jan  
Hoeher, Peter Adam 
Keywords: Bit error rate; channel models; equalizers; intensity modulation; multipath channels; optical wireless communication; visible light communication
Issue Date: 23-Jan-2024
Publisher: IEEE
Journal or Series Name: IEEE photonics journal 
Volume: 16
Issue: 1
Abstract: 
Methods for calculating the impulse response of dispersive optical wireless channels have been known for a long time. However, a comprehensive procedure for predicting resulting bit error rates, starting from a highly accurate channel emulation method, has not yet been presented. To fill this gap, we propose a methodology for modeling realistic dispersive optical wireless channels that can be used directly for corresponding bit error rate simulations. The importance of proper power normalization of the multipath components is emphasized. Moreover, the optical channel model is embedded in an end-to-end electrical channel model suitable for intensity-modulation/direct detection schemes under linear operation. To significantly reduce the simulation time, a so-called chip-rate model is presented. Finally, based on the proposed modeling approach for dispersive channels, bit error rate simulations are performed for selected intensity modulation schemes with and without equalization at the receiver and are compared
URI: https://hdl.handle.net/20.500.12738/16906
DOI: 10.48441/4427.2231
ISSN: 1943-0655
Review status: This version was peer reviewed (peer review)
Institute: Forschungs- und Transferzentrum Digital Reality 
Fakultät Design, Medien und Information 
Department Medientechnik 
Type: Article
Additional note: Henrik Schulze, Jan Mietzner, Peter Adam Hoeher, "Dispersive Optical Wireless Indoor Channels—From Frequency-Domain Modeling to Bit-Error-Rate Prediction", IEEE Photonics Journal, vol.16, no.1, 7300713, 2024.
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