DocumentCode :
2352914
Title :
Channel estimation based on cyclic orthogonal training sequence for relay-assisted cooperative communication system
Author :
Lei, Ming ; Zhao, Minjian ; Zhong, Jie ; Zhang, Zhipeng
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2012
fDate :
14-16 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a practical channel estimation algorithm based on cyclic orthogonal training sequence for relay-assisted cooperative communication system. In this algorithm, the relay nodes receive the cyclic orthogonal training sequence and circularly shift them to ensure the orthogonality before retransmitting them. It is in low complexity and the destination node can be in a good condition to get the channel state information (CSI) according to the sequence. The least square (LS) and linear minimum mean square (LMMSE) channel estimators are derived and the design of optimal training sequence is given. Simulation results show that the proposed algorithm can provide a significant performance improvement in terms of robustness, accuracy and efficiency.
Keywords :
channel estimation; cooperative communication; least mean squares methods; sequences; CSI; LMMSE channel estimators; channel estimation algorithm; channel state information; cyclic orthogonal training sequence; destination node; least square channel estimators; linear minimum mean square; optimal training sequence design; relay nodes; relay-assisted cooperative communication system; Channel estimation; Delay; Estimation; Frequency division multiplexing; Relays; Time division multiplexing; Training; LS and LMMSE estimators; channel estimation; cyclic orthogonal training sequence; relay-assisted cooperative communication system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Information and Telecommunication Systems (CITS), 2012 International Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4673-1549-4
Type :
conf
DOI :
10.1109/CITS.2012.6220373
Filename :
6220373
Link To Document :
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