MIMO-OFDM system channel estimation based on subspace iteration

Author

Lei, Yu ; Shenyuan, Yang

Author_Institution

Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin

fYear

2008

fDate

19-21 May 2008

Firstpage

1

Lastpage

4

Abstract

Blind channel identification and equalization methods of oversampled MIMO-OFDM systems based on subspace are discussed. The proposed method employs reduced-rank orthogonal iteration to estimate noise subspace with low computational complexity. When the number of transmit antenna is greater than that of receive antenna of MIMO-OFDM system, oversampled method is used to obtain enough information for identification. Simulation results illustrate that the proposed method can achieve good performance.

Keywords

MIMO communication; OFDM modulation; channel estimation; MIMO-OFDM system; blind channel identification; channel equalization; channel estimation; noise subspace iteration; reduced-rank orthogonal iteration; Blind equalizers; Channel estimation; Computational complexity; Computational modeling; Covariance matrix; Educational institutions; Noise reduction; OFDM modulation; Receiving antennas; Transmitting antennas; MIMO-OFDM; blind channel identification; orthogonal iteration; prewhiten; subspace method;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on

Conference_Location

Wroclaw

Print_ISBN

978-83-906662-8-0

Type

conf

Filename

4630305