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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/18746

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18746

    Title: Multi-user detection in ultra-wideband multiple-access communications systems using an efficient heuristic algorithm
    Authors: 陳興忠;Chen, Hsing-Chung
    Contributors: 資訊工程學系
    Keywords: Ultra-wideband, Tabu search method, Hopfield neural networks, multiuser detection.
    Date: 2012-03
    Issue Date: 2012-11-26 13:57:57 (UTC+8)
    Abstract: This paper investigates learning and achievable bit error rate (BER) performance of ultra-wideband
    (UWB) systems that use intelligent multiuser detector (MUD) when communicating over UWB channels
    that experience both multiuser interference (MUI) and intersymbol interference (ISI), in addition to
    multipath fading. Multiple access interference (MAI) degrades performance of conventional single user
    detector in UWB systems. Due to high complexity of the optimum multiuser detector, suboptimal
    multiuser detectors with less complexity and reasonable performance have drawn considerable
    attention. By taking advantage of heuristic values and collective intelligence of tabu search with
    Hopfield neural networks (TAHNN), the proposed detector offers almost the same BER performance as
    a full-search-based optimum multiuser detector does, while greatly reducing computational complexity.
    To evaluate performance and robustness of our proposed TAHNN based MUD, we experiment with a
    number of test problems. Computational results show that our proposed TAHNN in almost all cases
    outperforms other foregoing heuristics applied to this paper.
    Relation: Scientific Research and Essays
    Appears in Collections:[資訊工程學系] 期刊論文

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