Adaptive system identification using robust LMS/F algorithm

Guan Gui, Wei Peng, Fumiyuki Adachi

    研究成果: Article査読

    41 被引用数 (Scopus)

    抄録

    Adaptive system identification (ASI) problems have attracted both academic and industrial attentions for a long time. As one of the classical approaches for ASI, performance of least mean square (LMS) is unstable in low signal-to-noise ratio (SNR) region. On the contrary, least mean fourth (LMF) algorithm is difficult to implement in practical system because of its high computational complexity in high SNR region, and hence it is usually neglected by researchers. In this paper, we propose an effective approach to identify unknown system adaptively by using combined LMS and LMF algorithms in different SNR regions. Experiment-based parameter selection is established to optimize the performance as well as to keep the low computational complexity.

    本文言語English
    ページ(範囲)2956-2963
    ページ数8
    ジャーナルInternational Journal of Communication Systems
    27
    11
    DOI
    出版ステータスPublished - 2014 11月 1

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 電子工学および電気工学

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