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Channel estimation for frequency-selective two-way MIMO relay systems

Chiong,CWR, Rong,Y and Xiang,Y 2014, Channel estimation for frequency-selective two-way MIMO relay systems, in ISITA 2014 : Proceedings of International Symposium on Information Theory and Its Applications, Institute of Electrical and Electronics Engineers Inc., Piscataway, N.J., pp. 630-634.

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Title Channel estimation for frequency-selective two-way MIMO relay systems
Author(s) Chiong,CWR
Rong,Y
Xiang,YORCID iD for Xiang,Y orcid.org/0000-0003-3545-7863
Conference name Information Theory and its Applications. Symposium (2014 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 26-29 Oct. 2014
Title of proceedings ISITA 2014 : Proceedings of International Symposium on Information Theory and Its Applications
Editor(s) [Unknown]
Publication date 2014
Conference series Information Theory and its Applications Symposium
Start page 630
End page 634
Total pages 5
Publisher Institute of Electrical and Electronics Engineers Inc.
Place of publication Piscataway, N.J.
Keyword(s) Channel estimation
frequency-selective fading
MIMO two-way relay
MMSE
superimposed training
Summary In this paper, we investigate the channel estimation problem for two-way multiple-input multiple-output (MIMO) relay communication systems in frequency-selective fading environments. We propose a superimposed channel training algorithm to estimate the individual channel state information (CSI) of the first-hop and second-hop links for two-way MIMO relay systems with frequency-selective fading channels. In this algorithm, a relay training sequence is superimposed on the received signals at the relay node to assist the estimation of the second-hop channel matrices. The optimal structure of the source and relay training sequences is derived to minimize the meansquared error (MSE) of channel estimation. We also derive the optimal power allocation between the source and relay training sequences. Numerical examples are shown to demonstrate the performance of the proposed algorithm.
ISBN 9784885522925
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 861799 Communication Equipment not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID DP110102076
Copyright notice ©2014, Institute of Electrical and Electronics Engineers Inc.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30069155

Document type: Conference Paper
Collection: School of Information Technology
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