Distributed information fusion algorithm for single sensor dynamic system on the basis of multiscale dynamic models

Using the idea of multiscale analysis and by combining the model-based analysis method for dynamic systems with the multiscale signal transformation method, we put forward a new algorithm of multiscale distributed information fusion estimation. For multi-model dynamic systems having different descriptions for target state at different scales, at the finest scale we can obtain the optimal fusion estimations based on global information, which give a primary solution to the information fusion estimation of multiscale dynamic systems. This work enriches and develops the information fusion theory.