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