Adaptive sparse channel estimation for time-variant MIMO-OFDM systems

Guan Gui, Fumiyuki Adachi

    研究成果: Conference contribution

    11 被引用数 (Scopus)

    抄録

    Accurate channel state information (CSI) is required for coherent detection in time-variant multiple-input multiple-output (MIMO) communication systems using orthogonal frequency division multiplexing (OFDM) modulation. One of low-complexity and stable adaptive channel estimation (ACE) approaches is the normalized least mean square (NLMS)-based ACE. However, it cannot exploit the inherent sparsity of MIMO channel which is characterized by a few dominant channel taps. In this paper, we propose two adaptive sparse channel estimation (ASCE) methods to take advantage of such sparse structure information for time-variant MIMO-OFDM systems. Unlike traditional NLMS-based method, two proposed methods are implemented by introducing sparse penalties to the cost function of NLMS algorithm. Computer simulations confirm obvious performance advantages of the proposed ASCEs over the traditional ACE.

    本文言語English
    ホスト出版物のタイトル2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
    ページ878-883
    ページ数6
    DOI
    出版ステータスPublished - 2013
    イベント2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013 - Cagliari, Sardinia, Italy
    継続期間: 2013 7月 12013 7月 5

    出版物シリーズ

    名前2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013

    Other

    Other2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
    国/地域Italy
    CityCagliari, Sardinia
    Period13/7/113/7/5

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信

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