Blind channel estimation and equalization based on adaptive subspace tracking

Adaptive blind channel identification and equalization methods of two types MIMO-OFDM systems based on subspace are discussed. The proposed method employs reduced-rank orthogonal iteration to estimate noise subspace with low computational complexity. Oversampling autocorrelation matrix is applied to obtain redundant information, when the number of transmit antenna is greater than that of receive antenna of MIMO-OFDM system, so that the channel status could be estimated. Simulation results illustrate that the proposed method can achieve good performance.