Analysis of Semi-Blind Channel Estimation based on Second Order Statistics in MIMO

Although MIMO (multiple input multiple output) represent a solution to increase the ca-pacity and the reliability of wireless channels, it is particularly challenging from a channel estimation perspective. There are many algorithms that can be applied in MIMO channel es-timator. Motivated by analysis of the autocorrelation matrix at the receiver, which is consid-ered as a important step in computation of channel parameter based on whitening-rotation (WR) channel estimation algorithm, this paper modify transmit signal frame by embedded its second order statistic data. This idea is described as solution resolved ill-condition of WR-based channel estimation approach. We show that considerable improvement in the perfor-mance of channel estimator can be obtained by using this modified algorithm, especially for larger number of transmit/receive antennas. Keywords-MIMO; LS estimation; whitening-rotation channel estimatio