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
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