Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4427
Title: Channel Estimation in Visible Light Communication Systems: The Effect of Input Signal-Dependent Noise
Authors: Yaseen, M.
Canbilen, Ayse Elif
İkki, S.
Keywords: Bayesian Cramér-Rao lower bound
channel estimation
Channel estimation
least square
Light emitting diodes
linear minimum mean square error
maximum likelihood
Maximum likelihood estimation
maximum posteriori probability
Mean square error methods
Modulation
Radio frequency
signal dependent shot noise
Visible light communication
Visible light communication
Channel estimation
Errors
Frequency estimation
Intelligent systems
Light emitting diodes
Mean square error
Monte Carlo methods
Radio waves
Visible light communication
Bayesian
Bayesian crame-rao low bound
Crame-Rao lower bounds
Cramer Rao lower bound
Least Square
Lightemitting diode
Linear minimum mean square errors
Ma ximum likelihoods
Maximum posteriori probability
Maximum-likelihood
Maximum-likelihood estimation
Mean-square-error methods
Posteriori probability
Radiofrequencies
Signal dependent shot noise
Maximum likelihood estimation
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Visible light communication (VLC) has been proposed as a promising way for next generation wireless communication networks to mitigate the scarcity of the radio frequency (RF) spectrum, and has consequently attracted much attention. This paper introduces a single-input single-output (SISO) VLC system under the joint effects of statistical random channel and signal-dependent shot noise (SDSN). Moreover, it estimates the channel of the considered system using maximum likelihood (ML), least square (LS), linear minimum mean square error (LMMSE), maximum posteriori probability (MAP) and minimum mean square error (MMSE) estimators. Furthermore, a Bayesian Cramér-Rao lower bound (BCRLB) is derived for the proposed system and it is compared to the mean square error (MSE) of the proposed estimators. The problem of unknown SDSN factor, <inline-formula><tex-math notation="LaTeX">$\zeta ^{2}$</tex-math></inline-formula>, at the receiver side is discussed and two solutions are investigated. The receiver of a VLC system under SDSN and random channel gain <inline-formula><tex-math notation="LaTeX">$h$</tex-math></inline-formula> is designed and its BER is studied. Finally, Monte Carlo simulation results of the proposed estimators, which show the dramatic effect of the SDSN on the considered system, are provided. In particular, the presence of noise variance, as well as the SDSN factor, causes an increase in the MSE of the system, while increasing the power reinforces the system performance. IEEE
URI: https://doi.org/10.1109/TVT.2023.3282779
https://hdl.handle.net/20.500.13091/4427
ISSN: 0018-9545
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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