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    Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes

    258882.pdf (9.977Mb)
    Access Status
    Open access
    Authors
    He, Z.
    Yang, J.
    Wang, X.
    Liu, Y.
    Rong, Yue
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    He, Z. and Yang, J. and Wang, X. and Liu, Y. and Rong, Y. 2017. Channel Estimation of MIMO Relay Systems with Multiple Relay Nodes. IEEE Access. 5: pp. 27649 - 27658.
    Source Title
    IEEE Access
    DOI
    10.1109/ACCESS.2017.2775202
    ISSN
    2169-3536
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP140102131
    URI
    http://hdl.handle.net/20.500.11937/60708
    Collection
    • Curtin Research Publications
    Abstract

    OAPA In this article, we consider the channel estimation problem for multiple-input multiple-output (MIMO) wireless relay communication systems with multiple relay nodes. In particular, all individual channel matrices of the first-hop and second-hop links are estimated at the destination node by applying the superimposed channel training algorithm, where training sequences are superimposed at the relay nodes to assist the estimation of the relays-destination channel matrices. To improve the performance of channel estimation, we consider the estimation error inherited from the second-hop channel estimation and develop a new minimal mean-squared error (MMSE) based algorithm to estimate the first-hop channel matrices. Furthermore, we derive the optimal power allocation and training sequences at the source and relay nodes. Numerical examples demonstrate a better performance of the proposed superimposed channel training algorithm.

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