Multisensor Information Fusion White Noise Estimator

Using the modern time series analysis method and white noise estimation theory, under the linear minimum variance optimal information fusion criterion, for multisensor systems with colored measurement noise, the multisensor optimal information fusion white noise deconvolution Wiener filter is presented, which consists of weighting local white noise deconvolution Wiener filters. The formula of computing covariances among the local filtering errors is presented, and the formula of optimal weighting coefficients is also given. Compared with the single sensor case, the accuracy of the fused filter is improved. It can be applied to signal processing in oil seismic exploration. A simulation example for information fusion Bernoulli-Gaussian white noise deconvolution filter shows its effectiveness