Making a detailed review of the ’Kronecker’ MIMO radio channel model we present important implications and deficiencies of this channel model. We show that the Kronecker model does not render the multipath structure correctly, but it introduces artifact paths that are not present in the underlying measurement data. Moreover, the Kronecker model underestimates the mutual information of the MIMO ...

We address the issue of MIMO channel estimation with the aid of a priori temporal correlation statistics of the channel as well as the spatial correlation. The temporal correlations are incorporated to the estimation scheme by assuming the Gauss-Markov channel model. Under the MMSE criteria, the Kalman filter performs an iterative optimal estimation. To take advantage of the enhanced estimation...

MIMO (Multi Input Multi Output) wireless communication system is an innovative solution to improve the bandwidth efficiency by exploiting multipath-richness of the propagation environment. The degree of multipath-richness of the channel will determine the capacity gain attainable by MIMO deployment. Therefore, it is very important to have accurate knowledge of the propagation environment/radio ...