Semi-Blind Channel Estimation for OFDM using Least Squares

Author

Umoh, Ifiok Jarlath ; Ogunfumi, Tokunbo

Author_Institution

Dept. of Electr. Eng., Santa Clara Univ., CA

fYear

2006

fDate

2-4 Oct. 2006

Firstpage

161

Lastpage

164

Abstract

Subspace blind channel estimation which takes advantage of induced cyclostationarity in orthogonal frequency division multiplexing (OFDM) has been explored by many researchers. This method however, requires the knowledge of the probabilistic model of the channel input which is not always available. In this paper, a semi-blind channel estimation method is proposed which considers the OFDM channel input as an unknown deterministic signal. This method is semi-blind because pilot tones provided by the IEEE 802.11a std. are used to better track channel variations. Simulation results show the proposed approach provides an equally efficient bit error rate performance

Keywords

OFDM modulation; channel estimation; error statistics; least squares approximations; probability; IEEE 802.11a standard; OFDM; channel variation; deterministic signal; error statistics; least squares method; orthogonal frequency division multiplexing; probabilistic model; semi blind channel estimation; subspace channel estimation; Bit error rate; Blind equalizers; Channel estimation; Fading; Frequency domain analysis; Frequency estimation; Least squares approximation; OFDM; Receiving antennas; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems Design and Implementation, 2006. SIPS '06. IEEE Workshop on

Conference_Location

Banff, Alta.

ISSN

1520-6130

Print_ISBN

1-4244-0382-0

Electronic_ISBN

1520-6130

Type

conf

DOI

10.1109/SIPS.2006.352574

Filename

4161844