Title :
Channel estimation of MIMO-OFDM system based on subspace
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; communication complexity; iterative methods; MIMO-OFDM system; blind channel equalization; blind channel identification; channel estimation; computational complexity; noise subspace estimation; oversampled method; receive antenna; reduced-rank orthogonal iteration; transmit antenna; Blind equalizers; Channel estimation; Computational complexity; Computational modeling; Covariance matrix; Educational institutions; Noise reduction; OFDM modulation; Receiving antennas; Transmitting antennas;
Conference_Titel :
Microwave and Millimeter Wave Technology, 2008. ICMMT 2008. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1879-4
Electronic_ISBN :
978-1-4244-1880-0
DOI :
10.1109/ICMMT.2008.4540889
