Browsing by Author "Senol, H."

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    Modeling of Visible Light Channels and Performance Analysis of Aco-Ofdm
    (Institute of Electrical and Electronics Engineers Inc., 2015) Yesilkaya, A.; Şenol, Habib; Alsan, H.F.; Panayırcı, Erdal; Miramirkhani, F.; Panayırcı, Erdal; Senol, H.; Uysal, M.
    Spectrum scarcity of traditional radio communication has led communication engineers to find new alternatives. Indoor visible light communication is one alternative to solve this problem since its spectrum is not regulated and it has much wider bandwidth then traditional communication systems. This increased the research done in the field of visible light communications. However a proper indoor channel model is lacking and all previous studies assumes that only additive white Gaussian noise (AWGN) is present. Lack of proper channel model has motivated us to model a realistic indoor visible light channel. After modeling the indoor visible light channel, the performance of an asymmetrically clipped optical OFDM (ACOOFDM) system which is suitable for optical communications is investigated and compared to that of the AWGN optical channels. © 2015 IEEE.
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    MP-SAGE based channel estimation for underwater cooperative OFDM systems
    (2013) Şenol, Habib; Senol, H.; Panaytrel, E.; Uysal, M.
    In this paper, an efficient ehannel estimation algorithm is proposed fOl' amplify-And-forward (AF) eooperative relay based orthogonal fl'equency division multiplexing (OFDM) system in the presenee of sparse underwater aeoustic ehannels and of the cOITelative non-Gaussian noise, The algorithm is based on the eombinations of the matching pursuit (MP) and the spaee- alternating generalized expectation-lnaxiInization (SAGE) teehnique, to impl'ove the estimates of the ehannel taps and their loeation as weil as the Gaussian mb.."ture noise distribution paramete..s in an itel'ative way, Computer simulations show that underwater aeoustie ehannel is estimated very effectively and the proposed algorithm has exeellent symbol error rate (SER) and ehannel estimation performance, as eompared to the existing ones,. © 2013 IEEE.