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Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling

Jain, S and Mitra, R and Krejcar, O and Nebhen, J and Bhatia, V (2022) Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling. In: IEEE Photonics Journal, 14 (3).

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Official URL: https://doi.org/10.1109/JPHOT.2022.3163714


Visible light communication (VLC) has emerged as a potential candidate for next generation wireless communication systems. However, nonlinear characteristics of light emitting diode (LED), user-mobility, and DC-bias fluctuations are the major factors that limit the throughput of a VLC link, and makes the overall additive distortion as non-Gaussian distributed. To mitigate this non-Gaussian noise processes encountered in VLC systems due to LED nonlinearity, and user-mobility, recently a random Fourier features (RFF) based kernel recursive maximum Versoria criterion (KRMVC) based post-distortion algorithm is proposed, which delivers better performance as compared to the classical polynomial series, and kernel recursive least squares (KRLS) algorithms due to the incorporation of higher order statistics of error. However, the performance of RFF-KRMVC algorithm is sensitive to the choice of kernel-width, and results in approximation errors due to imperfect choice of kernel-width. This paper proposes a novel RFF-KRMVC algorithm using a kernel-width sampling (KWS) technique called as RFF-KWS-KRMVC, which implements the post-distortion under a hyperparameter-free finite memory budget. Furthermore, analytical expressions for mean square error, and error rate are quantified for the proposed RFF-KWS-KRMVC post-distorter, and corroborated by Monte-Carlo simulations performed over standard VLC channel models. © 2009-2012 IEEE.

Item Type: Journal Article
Publication: IEEE Photonics Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Approximation algorithms; Budget control; Error statistics; Fourier series; Gaussian noise (electronic); Higher order statistics; Intelligent systems; Light; Light emitting diodes; Mean square error; Signal processing; Visible light communication, Channel modelling; Fourier features; Kernel; Kernel-width sampling; Lightemitting diode; Maximum versorium criteria; Post-distortion; Random fourier feature; Signal processing algorithms; Users' mobility, Monte Carlo methods
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 22 Jun 2022 05:10
Last Modified: 22 Jun 2022 05:10
URI: https://eprints.iisc.ac.in/id/eprint/73610

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