For the multisensor linear discrete time-varying stochastic control systems with the different local dynamic models, using the Kalman filtering method, under the optimal fusion criterion weighted by scalars, the unified and universal optimal information fusion white noise deconvolution estimators are presenced, and for the corresponding time-invariant systems, the steady-state optimal information fusion white noise deconvolution estimators are also presented. They can handle the white noise deconvolution fused filtering, smoothing and prediction problems in a unified framework. In order to compute the optimal weights, the formula of computing the cross-covariances among local estimation errors of input white noise. They have an important applied background in oil seismic exploration.