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Estimation of Random Channel Gain for Sisovisible Light Communications System

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Bibliographic Details
Title: Estimation of Random Channel Gain for Sisovisible Light Communications System
Authors: Yaseen, Maysa, Ikki, Salama, Canbilen, Ayse E.
Publisher Information: Ieee Canada
Publication Year: 2023
Subject Terms: maximum likelihood (ML), maximum posteriori probability (MAP), visible light communication (VLC), Performance, Ofdm, channel estimation, Bayesian Cramer-Rao lower bound (BCRLB), least square (LS), linear minimum mean square error (LMMSE)
Description: Article; Early Access ; In this article, the estimation of random channel gain is studied for a single-input single-output (SISO) visible light communication (VLC) system. Five different estimators, namely maximum likelihood (ML), least square (LS), maximum posteriori probability (MAP), linear minimum mean square error (LMMSE), and minimum mean square error (MMSE), are proposed. The performances of these estimators are compared with the derived Bayesian Cramer-Rao lower bound (BCRLB), which can be used as a benchmark to evaluate the efficiency of the unbiased estimators. The presented analytical results, corroborated with Monte Carlo simulations, indicate that the MMSE estimator provides the best results. Additionally, the increasing number of pilot symbols as well as the ascending transmitted power improve the system performance. On the other hand, the noise variance has a negative effect on the channel estimation in terms of mean square error (MSE), and thus, it can dramatically reduce the performance of the estimators.
Document Type: article in journal/newspaper
Language: English
Relation: IEEE Canadian Journal of Electrical And Computer Engineering; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.13091/4825; https://doi.org/10.1109/ICJECE.2023.3293031; WOS:001085487700001; Q3
DOI: 10.1109/ICJECE.2023.3293031
Availability: https://hdl.handle.net/20.500.13091/4825
https://doi.org/10.1109/ICJECE.2023.3293031
Rights: none
Accession Number: edsbas.97F8455B
Database: BASE
Description
Abstract:Article; Early Access ; In this article, the estimation of random channel gain is studied for a single-input single-output (SISO) visible light communication (VLC) system. Five different estimators, namely maximum likelihood (ML), least square (LS), maximum posteriori probability (MAP), linear minimum mean square error (LMMSE), and minimum mean square error (MMSE), are proposed. The performances of these estimators are compared with the derived Bayesian Cramer-Rao lower bound (BCRLB), which can be used as a benchmark to evaluate the efficiency of the unbiased estimators. The presented analytical results, corroborated with Monte Carlo simulations, indicate that the MMSE estimator provides the best results. Additionally, the increasing number of pilot symbols as well as the ascending transmitted power improve the system performance. On the other hand, the noise variance has a negative effect on the channel estimation in terms of mean square error (MSE), and thus, it can dramatically reduce the performance of the estimators.
DOI:10.1109/ICJECE.2023.3293031