  Information on the future state of time varying frequency selective channels
can significantly enhance the effectiveness of feedback in adaptive and limited
feedback MIMO-OFDM systems. This paper investigates the parametric
extrapolation of wideband MIMO channels using variations of the double
directional MIMO model. We propose three predictors which estimate parameters
of the channel using 4D, 3D and 2D extensions of the ESPRIT algorithm and
predict future states of the channel using the models. Furthermore, using the
vector formulation of the Cramer Rao lower bound for functions of parameters,
we derive a bound on the prediction error in wideband MIMO channels. Numerical
simulations are used to evaluate the performance of the proposed algorithms
under different channel and transmission conditions, and a comparison is made
with the derived error bound.
