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    Blind estimation of MIMO relay channels

    200227_200227.pdf (75.05Kb)
    Access Status
    Open access
    Authors
    Chiong, Choo Wee Raymond
    Rong, Yue
    Xiang, Y.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Chiong, C.W.R. and Rong, Y. and Xiang, Y. 2014. Blind estimation of MIMO relay channels, in Seghouane, A. (ed), The 2014 IEEE Workshop on Statistical Signal Processing (SSP), Jun 29-Jul 2 2014, pp. 400-403. Gold Coast, Qld: IEEE.
    Source Title
    Proceedings of the 2014 IEEE Workshop on Statistical Signal Processing
    Source Conference
    The 2014 IEEE Workshop on Statistical Signal Processing
    Additional URLs
    http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6884660
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    NOTICE: This is the author’s version of a work in which changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.

    URI
    http://hdl.handle.net/20.500.11937/39472
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we integrate two blind source separation (BSS) methods to estimate the individual channel state information (CSI) for the source-relay and relay-destination links of three-node two-hop multiple-input multiple-output (MIMO) relay systems. In particular, we propose a first-order Z-domain precoding technique for the blind estimation of the relay-destination channel matrix, while an algorithm based on the constant modulus and mutual information properties is developed to estimate the source-relay channel matrix. Compared with training-based MIMO relay channel estimation approaches, our algorithm has a better bandwidth efficiency as no bandwidth is wasted for sending the training sequences. Numerical examples are shown to demonstrate the performance of the proposed algorithm.

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