Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis

The optimal source precoding matrix and relay amplifying matrix have been developed in recent works on multipleinput multiple-output (MIMO) relay communication systems assuming that the instantaneous channel state information (CSI) is available. However, in practical relay communication systems, the...

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Main Authors: Rong, Yue, Khandaker, Muhammad, Xiang, Y.
Format: Journal Article
Published: IEEE 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/38261
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author Rong, Yue
Khandaker, Muhammad
Xiang, Y.
author_facet Rong, Yue
Khandaker, Muhammad
Xiang, Y.
author_sort Rong, Yue
building Curtin Institutional Repository
collection Online Access
description The optimal source precoding matrix and relay amplifying matrix have been developed in recent works on multipleinput 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 existingapproaches, 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.
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institution Curtin University Malaysia
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publishDate 2012
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spelling curtin-20.500.11937-382612017-09-13T15:59:12Z Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis Rong, Yue Khandaker, Muhammad Xiang, Y. MIMO relay Channel estimation PARAFAC The optimal source precoding matrix and relay amplifying matrix have been developed in recent works on multipleinput 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 existingapproaches, 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/38261 10.1109/TWC.2012.032712.111251 IEEE fulltext
spellingShingle MIMO relay
Channel estimation
PARAFAC
Rong, Yue
Khandaker, Muhammad
Xiang, Y.
Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis
title Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis
title_full Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis
title_fullStr Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis
title_full_unstemmed Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis
title_short Channel Estimation of Dual-Hop MIMO Relay Systems via Parallel Factor Analysis
title_sort channel estimation of dual-hop mimo relay systems via parallel factor analysis
topic MIMO relay
Channel estimation
PARAFAC
url http://hdl.handle.net/20.500.11937/38261