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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51528


    Title: SCFNN-Based Decision Feedback Equalization Robust to Frequency Offset and Phase Noise
    Authors: Chang,YJ;Ho,CL
    Contributors: 通訊工程學系
    Keywords: NEURAL-NETWORK;ALGORITHM;CHANNELS;FILTER
    Date: 2011
    Issue Date: 2012-03-27 18:55:20 (UTC+8)
    Publisher: 國立中央大學
    Abstract: This paper proposes a self-constructing fuzzy neural network-based decision feedback equalizer (SCFNN DFE). An online learning algorithm containing the structure and parameter learning phases is employed in training the SCFNN DFE. Specifically, the feedforward input vector classification and a gradient-descent method are both used in this online learning algorithm. We show by simulations that the proposed SCFNN DFE offers improvement compared to the traditional DFE methods in the presence of frequency offset and phase noise.
    Relation: CIRCUITS SYSTEMS AND SIGNAL PROCESSING
    Appears in Collections:[通訊工程學系] 期刊論文

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