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    National Tsing Hua University Institutional Repository > 研究中心 > 電腦與通訊科技研發中心 > 技術報告 >  Adaptive channel estimation using the GOBA algorithm for turbo codes in Rayleigh flat-fading channels


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13202


    Title: Adaptive channel estimation using the GOBA algorithm for turbo codes in Rayleigh flat-fading channels
    Authors: Chin-Liang Wang
    Jah-Ming Hsu
    Ting-Yang Chang
    教師: 王晉良
    Date: 2000
    Publisher: Institute of Electrical and Electronics Engineers Inc.
    Relation: Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on Volume 4, 28-31 May 2000 Page(s):45 - 48 vol.4
    Keywords: adaptive estimation
    iterative methods
    Rayleigh channels
    tracking
    turbo codes
    Abstract: Performance of turbo codes in fading channels can be improved when the channel fading amplitudes are available at the turbo decoders, conventionally, channel estimation and turbo-decoding are treated as two independent tasks. In this paper, we propose an iterative structure for fading amplitude estimation where turbo-decoder decisions are directed to an adaptive channel estimator using the general optimum block adaptive (GOBA) algorithm. The performance of a turbo-coding system with the proposed channel estimation structure is also investigated through computer simulations for correlated Rayleigh flat-fading channels. This decision-directed approach for channel re-estimation combined with the excellent tracking capability of the GOBA algorithm significantly improves the turbo-coding system performance. Computer simulation results show that its bit error rate performance is close to that of a system with perfect knowledge of fading amplitudes especially for fast-fading channels
    Relation Link: http://ieeexplore.ieee.org/Xplore/dynhome.jsp
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13202
    Appears in Collections:[電腦與通訊科技研發中心] 技術報告
    [通訊工程研究所] 會議論文

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