DocumentCode :
3536122
Title :
Low Complexity Channel Estimation Method of MIMO-OFDM for LTE Downlink
Author :
Deng, Bing ; Wang, Wenbo
Author_Institution :
Sch. of Inf. &Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
23-25 Sept. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper channel estimation method of long Term Evolution (LTE) system is addressed. For pilot aided channel estimation of OFDM system mainly includes coarse channel estimation and interpolation to reconstruct the channel impulse response. To keep better performance of channel estimation in OFDM system, the optimum linear minimum mean squared error (LMMSE) generally is addressed for interpolation procedure. We present poly-phase filter architecture and method to implement interpolation process of channel estimation to reduce the complexity of LMMSE estimator. Meanwhile, we also fully utilize the symmetry of coefficient matrix to further reduce the complexity of the traditional poly-phase filter of channel estimation. Algorithm deductions show that the complexity of proposed method greatly reduced with the same performance of LMMSE estimator in realistic scenarios.
Keywords :
Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; filtering theory; interpolation; least mean squares methods; transient response; wireless channels; LTE downlink; Long Term Evolution downlink; Low complexity channel estimation method; MIMO-OFDM system; channel impulse response reconstruction; coarse channel estimation; coefficient matrix; interpolation procedure; optimum LMMSE estimator; optimum linear minimum mean squared error estimator; pilot aided channel estimation; poly-phase filter architecture; Channel estimation; Complexity theory; Filtering algorithms; Finite impulse response filter; Interpolation; OFDM; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
ISSN :
2161-9646
Print_ISBN :
978-1-4244-6250-6
Type :
conf
DOI :
10.1109/wicom.2011.6036656
Filename :
6036656
Link To Document :
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