Channel estimation of dual-hop MIMO relay system via parallel factor analysis

Rong, Yue, Khandaker, Muhammad R. A. and Xiang, Yong 2012, Channel estimation of dual-hop MIMO relay system via parallel factor analysis, IEEE transactions on wireless communications, vol. 11, no. 6, pp. 2224-2233.

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Title Channel estimation of dual-hop MIMO relay system via parallel factor analysis
Author(s) Rong, Yue
Khandaker, Muhammad R. A.
Xiang, Yong
Journal name IEEE transactions on wireless communications
Volume number 11
Issue number 6
Start page 2224
End page 2233
Total pages 10
Publisher IEEE
Place of publication Piscataway, N. J.
Publication date 2012-06-15
ISSN 1536-1276
1558-2248
Keyword(s) channel estimation
MIMO relay
PARAFAC
Summary The optimal source precoding matrix and relay amplifying matrix have been developed in recent works on multiple-input multiple-output (MIMO) relay communication systems assuming that the instantaneous channel state information (CSI) is available. However, in practical relay communication systems, the instantaneous CSI is unknown, and therefore, has to be estimated at the destination node. In this paper, we develop a novel channel estimation algorithm for two-hop MIMO relay systems using the parallel factor (PARAFAC) analysis. The proposed algorithm provides the destination node with full knowledge of all channel matrices involved in the communication. Compared with existing approaches, the proposed algorithm requires less number of training data blocks, yields smaller channel estimation error, and is applicable for both one-way and two-way MIMO relay systems with single or multiple relay nodes. Numerical examples demonstrate the effectiveness of the PARAFAC-based channel estimation algorithm.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30046998

Document type: Journal Article
Collection: School of Information Technology
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