DocumentCode :
569367
Title :
An Improved LMMSE Channel Estimation Algorithm of LTE System
Author :
Liu, Wenwen ; Li, Xiaolin
Author_Institution :
Chongqing Key Lab. of Mobile Commun., ChongQing Univ. of Posts & Telecommun., Chongqing, China
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
231
Lastpage :
234
Abstract :
This paper first introduces the MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system model, and then studies several classical channel estimation algorithms: LS(Least Square) algorithm and LMMSE(Liner Minimum Mean-Square Error) algorithms. Finally, based on the Jacobi iterative algorithm for solving linear equations, the original LMMSE algorithm has been improved. Theoretical analysis and simulation results show that: Improved LMMSE algorithm not only can reduce the complexity of the implementation, but also has more superior performance.
Keywords :
Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; iterative methods; least mean squares methods; Jacobi iterative algorithm; LTE system; MIMO-OFDM system model; improved LMMSE channel estimation algorithm; least square algorithm; linear equations; liner minimum mean-square error algorithms; multiple input multiple output-orthogonal frequency division multiplexing; Algorithm design and analysis; Channel estimation; Complexity theory; Equations; Mathematical model; OFDM; Signal to noise ratio; Improved LMMSE; LMMSE; LS; MIMO-OFDM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
Type :
conf
DOI :
10.1109/ICCIS.2012.71
Filename :
6300445
Link To Document :
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