Other approaches [15, 16] consider an explicit channel estimation based on channel sounding in which a "train of pulses" spaced by the maximum delay spread of the channel is transmitted instead.
In [14], the linear minimum mean square error (LMMSE) channel estimation method based on channel autocorrelation matrix in frequency domain has been proposed.
Finally, Turbo equalization schemes, encompassing iterative detection and decoding, were proposed based on RLS/LMS channel estimation [22, 26] and BE channel estimation [28].
Figure 15 Throughput in the case of perfect channel knowledge vs. throughput based on postpreamble channel estimation in Cyan Set.
Based on this channel estimation, the quality of the channel may be evaluated, and the appropriate feedback information calculated.
The main target is to estimate the channel (mathbf {g}^{prime n}_{c^,c^,i,j}) which can be computed based on Bayesian channel estimation philosophy as the mean of the channel posterior distribution that can be represented as hat{mathbf{g}}^{prime n}_{c^,c^,i,j}=E(P mathbf{g}^{prime n}_{c^,c^,i,j}|mathbf{y}_{c^,i,j},boldsymbol{Xi}_{j},{xi}_{0})), (22).
Based on practical channel estimation error models, we are able to fully characterize the impact of channel estimation error in this article.
Based on the channel estimation and data detection results provided by the proposed iterative estimator, the interference from later arriving multipath components is reconstructed and removed from the original received signal.
Therefore, new transmission schemes based on blind channel estimation are to be designed for the next generation mobile [49].
