Channel Estimation in Visible Light Communication Systems: the Effect of Input Signal-Dependent Noise
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| Titel: | Channel Estimation in Visible Light Communication Systems: the Effect of Input Signal-Dependent Noise |
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| Autoren: | Yaseen, M., İkki, S., Canbilen, Ayse Elif |
| Verlagsinformationen: | Institute of Electrical and Electronics Engineers Inc. |
| Publikationsjahr: | 2023 |
| Schlagwörter: | 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, linear minimum mean square error, Errors, Maximum-likelihood estimation, Mean-square-error methods, channel estimation, Bayesian Cramér-Rao lower bound, maximum likelihood, Maximum likelihood estimation, Mean square error methods, Modulation, Radio frequency, signal dependent shot noise, Posteriori probability |
| Beschreibung: | 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 |
| Publikationsart: | article in journal/newspaper |
| Sprache: | English |
| ISBN: | 978-0-01-142619-8 0-01-142619-5 |
| Relation: | IEEE Transactions on Vehicular Technology; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.13091/4427; https://doi.org/10.1109/TVT.2023.3282779; 11; WOS:001142619500041; Q1 |
| DOI: | 10.1109/TVT.2023.3282779 |
| Verfügbarkeit: | https://hdl.handle.net/20.500.13091/4427 https://doi.org/10.1109/TVT.2023.3282779 |
| Rights: | none |
| Dokumentencode: | edsbas.70ECDD13 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | 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 |
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| ISBN: | 9780011426198 0011426195 |
| DOI: | 10.1109/TVT.2023.3282779 |