DocumentCode :
13093
Title :
Low complexity PARAFAC-based channel estimation for non-regenerative MIMO relay systems
Author :
Jianhe Du ; Chaowei Yuan ; Jinbo Zhang
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
8
Issue :
12
fYear :
2014
fDate :
August 14 2014
Firstpage :
2193
Lastpage :
2199
Abstract :
In this study, the authors present a novel channel estimation scheme for a two-hop non-regenerative multiple-input multiple-output relay system. The proposed scheme has two stages. In the first stage, the source node transmits channel training sequence to the relay node. The relay node amplifies the received signal and forwards it to the destination node. During the second stage, the relay node amplifies the pre-received signal with another amplification matrix, and forwards it to the destination node. Based on the proposed scheme, by using parallel factor (PARAFAC) analysis, they further propose a low complexity channel estimation algorithm, where full knowledge of all channel matrices involved in the communication can be estimated at the destination node. Compared with existing algorithms, the proposed algorithm yields smaller channel estimation error with lower complexity. Numerical examples are shown to demonstrate the effectiveness of the low complexity PARAFAC-based channel estimation algorithm.
Keywords :
MIMO communication; channel estimation; matrix algebra; relay networks (telecommunication); statistical analysis; amplification matrix; channel matrices; channel training sequence; destination node; low complexity PARAFAC-based channel estimation scheme; nonregenerative MIMO relay systems; parallel factor analysis; received signal; relay node; source node; two-hop nonregenerative multiple-input multiple-output relay system;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2013.1155
Filename :
6871482
Link To Document :
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