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dc.contributor.authorBektaş, Ekin Başak
dc.contributor.authorPanayırcı, Erdal
dc.date.accessioned2021-07-05T16:19:23Z
dc.date.available2021-07-05T16:19:23Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4047
dc.description.abstractVisible Light Communication(VLC) has been considered as a potential access option for 6G wireless systems to solve performance limitation due to bandwidth shortage at radio frequency (RF) band. In VLC system, illumination infrastructure has dual usage at the same time namely illumination and wireless data transmission. DC-Biased optical DCO-OFDM with clipping has been proposed for VLC systems to provide optically power efficient solution and easy implementation. Wireless communication systems generally require estimating and tracking the fading channel in order to detect transmitted data coherently. In this work, we propose a pilot-aided iterative channel estimation algorithm to efficiently estimate the optical channel coefficients of a clipped DCO-OFDM system operating with additive white Gaussian noise (AWGN). The estimation algorithm is capable of improving the channel estimation by making use of pilot symbols with interpolation or using the channel estimate of previous OFDM block to obtain the next estimate for the iterative algorithm. In each iteration, the clipping noise is estimated and compensated in the frequency domain. Simulation results verify that the proposed channel estimation algorithm reduces the bit error rate (BER) and mean-square error (MSE) of channel estimate can be significantly.en_US
dc.description.sponsorshipIstanbul Medipol Univen_US
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.subjectVisible light communication (VLC)en_US
dc.subjectDC-biased optical orthogonal frequency division multiplexing (DCO-OFDM)en_US
dc.subjectclipping noiseen_US
dc.subjectpilot-aided iterative channel estimationen_US
dc.titleChannel Estimation for DCO-OFDM Based VLC Systems in the Presence of Clipping Noiseen_US
dc.typeProceedings Paperen_US
dc.relation.journal2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.identifier.wos000653136100454en_US
dc.contributor.khasauthorBektaş, Ekin Başaken_US
dc.contributor.khasauthorPanayırcı, Erdalen_US


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