DocumentCode :
590736
Title :
Low-complexity approximate LMMSE channel estimation for OFDM systems
Author :
Ohno, S. ; Munesada, S. ; Manasseh, Emmanuel
Author_Institution :
Dept. of Syst. Cybern., Hiroshima Univ., Higashi-Hiroshima, Japan
fYear :
2012
fDate :
3-6 Dec. 2012
Firstpage :
1
Lastpage :
4
Abstract :
A low-complexity linear minimum mean square error (LMMSE) based channel estimator is proposed for orthogonal frequency-division multiplexing (OFDM) systems over frequency-selective channels. Using the law of a large number, we approximate the LMMSE estimator to reduce the numerical complexity of the channel estimation. Our estimator exhibits comparable performance with the LMMSE estimator at low SNR but suffers the performance floor due to the approximation, which are verified by numerical simulations.
Keywords :
OFDM modulation; approximation theory; channel estimation; least mean squares methods; OFDM system; channel estimation; frequency-selective channel; low-complexity approximation; low-complexity linear minimum mean square error; numerical complexity reduction; numerical simulation; orthogonal frequency-division multiplexing system; Approximation methods; Channel estimation; Complexity theory; Correlation; Covariance matrix; OFDM; Receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8
Type :
conf
Filename :
6411883
Link To Document :
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