Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm

Masahiro Yukawa, Yuki Saito

    研究成果: Paper査読

    1 被引用数 (Scopus)

    抄録

    A widely linear extension of the linearly and quadratically constrained minimum variance (LQCMV) beamformer is presented. By exploiting the pseudocovariance matrix which is complementary second order statistics for the ordinary covariance matrix, the widely linear LQCMV (WL-LQCMV) beamformer attains better performance when the received data is noncircular. Adaptive implementation of WL-LQCMV by the dual-domain adaptive algorithm (DDAA) brings a remarkable advantage of fast convergence. The key points of the convergence analysis of DDAA are elaborated. The simulation results are presented to show the efficacy of our approach.

    本文言語English
    DOI
    出版ステータスPublished - 2013 1 1
    イベント9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan, Province of China
    継続期間: 2013 12 102013 12 13

    Other

    Other9th International Conference on Information, Communications and Signal Processing, ICICS 2013
    国/地域Taiwan, Province of China
    CityTainan
    Period13/12/1013/12/13

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 情報システム
    • 信号処理

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