We consider the optimal transport problem between multivariate Gaussian stationary stochastic processes. The transportation effort is variance of filtered discrepancy process. main contribution this article to show that corresponding solution leads a weighted Hellinger distance power spectral densities. Then, we propose estimation approach in case indirect measurements, which based on distance.