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W3045984889 abstract "In practical underwater visible light communication (UVLC) scenarios, the communication links inevitably suffer from many stochastic channel effects including multi-path dispersion, scattering, turbulence, etc., and/or from the mobility of the transceiver, therefore resulting in a time-varying, location dependent non-stationary propagation environment. Naturally, how to design a cost-efficient channel estimation (CE) for UVLC systems becomes a significant technical challenge, due to the complicated channel characteristics and implementational constraints in underwater environment. In this paper, we propose a class of Bayesian CE algorithms for fractionally-sampled optical orthogonal frequency division multiplexing (FS-OOFDM) assisted UVLC systems. The so-called Sherman-Morrison formula (SMF) based CEs (SMF-CEs) exploit the property of rank-one structure of the channel covariance and autocorrelation matrices in the delay domain, to achieve a superior performance at a modest computational complexity." @default.
W3045984889 created "2020-08-03" @default.
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W3045984889 date "2020-06-01" @default.
W3045984889 modified "2023-09-27" @default.
W3045984889 title "Low Complexity Channel Estimation for Fractionally Sampled Underwater Visible Light Communication" @default.
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W3045984889 doi "https://doi.org/10.1109/icc40277.2020.9149246" @default.
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