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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/107378


    Title: Semi-blind Channel Estimation Scheme with Bayesian DFE for PRP-OFDM System
    Authors: Chern, Shiunn-Jang;Bai, Yun-Kai;Lee, Kelvin Kuang -Chi;Yang, Richard H.-H.
    Keywords: PRP-OFDM;redundant symbol;ISI;IBI;block-based DFE;zero-forcing equalizer;Oblique projector;BER
    Date: 2015-11-09
    Issue Date: 2016-08-18 13:39:18 (UTC+8)
    Publisher: IEEE Conference Publications
    Abstract: This paper presents a novel block-based Bayesian
    decision feedback equalization (DFE) receiver for the Pseudo-Random Postfix (PRP) Orthogonal Frequency Division Multiplexing (OFDM) (PRP-OFDM) systems, with semi-blind channel estimation. In conventional PRP-OFDM receiver for semi-blind channel estimation, an order-one statistics of the received signal is developed, for sufficient redundant symbols (PRP). In this paper, we consider the PRP-OFDM system, where
    the length of PRP (redundant symbols) is less than the channel order, named as the insufficient PRP-OFDM system. To deal with this problem and maintain reasonable complexity of receiver, first the maximum shortening signal-to-noise-ratio (MSSNR) time-domain equalizer (TEQ) is applied to reduce the effect of inter-block-interference (IBI). After that the block-based
    Bayesian DFE equalizer is developed for alleviating the intersymbol interference (ISI), hence to achieve better system performance, in terms of bit-error rate (BER). Computer simulation results verify that the proposed scheme could achieve BER improvement over the conventional block-based equalizers, viz., the linear zero-forcing (ZF) equalizer, non-linear ZF equalizer (with oblique projector) and the minimum mean square
    error DFE.
    Relation: 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (IEEE Explorer)
    DOI: 10.1109/ISPACS.2015.7432844
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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