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    Blind identification of FIR MIMO channels by decorrelating subchannels

    138473_138473.pdf (744.5Kb)
    Access Status
    Open access
    Authors
    Hua, Y.
    An, Senjian
    Xiang, Y.
    Date
    2003
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Hua, Yingbo and An, Senjian and Xiang, Yong. 2003. Blind identification of FIR MIMO channels by decorrelating subchannels. IEEE Transactions on Signal Processing. 51 (5): pp. 1143-1155.
    Source Title
    IEEE Transactions on Signal Processing
    ISSN
    1053-587X
    Faculty
    School of Science and Computing
    Department of Computing
    Faculty of Science and Engineering
    Remarks

    Copyright © 2003 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/3558
    Collection
    • Curtin Research Publications
    Abstract

    We study blind identification and equalization of finite impulse response (FIR) and multi-input and multi-output (MIMO) channels driven by colored signals. We first show a sufficient condition for an FIR MIMO channel to be identifiable up to a scaling and permutation using the second-order statistics of the channel output. This condition is that the channel matrix is irreducible (but not necessarily column-reduced), and the input signals are mutually uncorrelated and of distinct power spectra. We also show that this condition is necessary in the sense that no single part of the condition can be further weakened without another part being strengthened. While the above condition is a strong result that sets a fundamental limit of blind identification, there does not yet exist a working algorithm under that condition. In the second part of this paper, we show that a method called blind identification via decorrelating subchannels (BIDS) can uniquely identify an FIR MIMO channel if a) the channel matrix is nonsingular (almost everywhere) and column-wise coprime and (b) the input signals are mutually uncorrelated and of sufficiently diverse power spectra. The BIDS method requires a weaker condition on the channel matrix than that required by most existing methods for the same problem.

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