Bi-iterative algorithm for extracting independent components from array signals

Da-Zheng Feng, Hua Zhang, Wei Xing Zheng

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)

    Abstract

    It is well known that the complex-valued nonunitary joint diagonalization (NUJD) problem in blind source separation (BSS) can be linked to the trilinear models. In this paper, by exploring the special structure of the NUJD problem in BSS, we introduce a novel symmetric tri-quadratic cost function and then derive a simultaneous bi-iterative algorithm (s-BIA) for solving the NUJD problem. Finally, three experiments are conducted in order to show the comparatively good performance of the proposed BSS algorithm.
    Original languageEnglish
    Pages (from-to)3636-3646
    Number of pages11
    JournalIEEE Transactions on Signal Processing
    Volume59
    Issue number8
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Bi-iterative algorithm
    • blind source separation
    • eigenmatrices
    • joint diagonalization
    • signal processing

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