Optimal training sequence for MIMO wireless systems in colored environments
IEEE Transactions on Signal Processing
Brief paper: Identification for robust H2 deconvolution filtering
Automatica (Journal of IFAC)
IEEE Transactions on Signal Processing
Optimized training sequences for spatially correlated MIMO-OFDM
IEEE Transactions on Wireless Communications
On the impact of channel estimation errors on MAC protocols for MIMO ad hoc networks
IEEE Transactions on Wireless Communications
| Hi-index | 35.69 |
In this paper, we study the problem of estimating correlated multiple-input multiple-output (MIMO) channels in the presence of colored interference. The linear minimum mean square error (MMSE) channel estimator is derived and the optimal training sequences are designed based on the MSE of channel estimation. We propose an algorithm to estimate the long-term channel statistics needed for the construction of the optimal training sequences. We also design an efficient scheme to feed back the required information to the transmitter where we can approximately construct the optimal sequences. Numerical results show that the optimal training sequences provide substantial performance gain for channel estimation when compared with other training sequences