DocumentCode
2753578
Title
Semi-adaptive channel estimation technique for LTE systems
Author
Ahmed, ElSayed A. ; Khairy, Mohamed M.
Author_Institution
Dept. of Elec. Eng. & Comp. Sci., Univ. of California, Irvine, Irvine, CA, USA
fYear
2011
fDate
June 28 2011-July 1 2011
Firstpage
457
Lastpage
482
Abstract
Channel estimation in orthogonal frequency division multiplexing (OFDM) systems is required for coherent demodulation. This paper deals with channel estimation in the OFDM based LTE system. In particular, two pilot-aided techniques are presented: the low-pass filter based estimator (LPFE), and the robust minimum mean square error estimator (MMSE). These techniques are characterized by their low complexity relative to other complex estimation techniques. A semi-adaptive channel estimator is proposed in this paper. In the proposed estimator, channel delay spread and Doppler frequency are used to adapt the interpolation filters in order to enhance the estimator performance while maintaining low complexity relative to the fully adaptive estimator. Simulation results show that there is performance improvement using the proposed adaptive scheme when applied to LTE systems.
Keywords
Long Term Evolution; OFDM modulation; channel estimation; demodulation; interpolation; least mean squares methods; low-pass filters; Doppler frequency; LPFE; LTE system; MMSE; OFDM system; channel delay spread; coherent demodulation; complex estimation technique; interpolation filter; low-pass filter based estimator; minimum mean square error estimator; orthogonal frequency division multiplexing; pilot-aided technique; semiadaptive channel estimation; Channel estimation; Delay; Doppler effect; Filter banks; Frequency domain analysis; Interpolation; OFDM; Channel Estimation; LTE; OFDM;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Communications (ISCC), 2011 IEEE Symposium on
Conference_Location
Kerkyra
ISSN
1530-1346
Print_ISBN
978-1-4577-0680-6
Electronic_ISBN
1530-1346
Type
conf
DOI
10.1109/ISCC.2011.5983879
Filename
5983879
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