Title :
MIMO-OFDM system channel estimation based on subspace iteration
Author :
Lei, Yu ; Shenyuan, Yang
Author_Institution :
Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin
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;
Conference_Titel :
Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-83-906662-8-0
