Modern Airborne Radar Systems, Information Fusion Algorithm

The techniques of multisensor information fusion study how to process and use information from multisource cooperatively, Because of the complement of information with different formations, we can obtain more objective more essential cognition to a certain target. In recent years, the multisensor information fusion has shown its mighty life force and application foreground. It not only has benefits to the construction of our defense, but also to our society and economy.This thesis mainly studies the theory foundation, correlation arithmetic, status quo and development trends of this field. At this foundation, we discuss of the application of this technique in airborne radar system and prompt the scheme of airborne radar system base on information fusion. Also introduce the fusion algorithm of D-S evidence theory in detail, and analyse the characteristics of neural network and information fusion. We designed the new algorithms based on evidence theory and BP neural network, which integrate the advantages of D-S theory and neural network. Experiments proved efficiency of this algorithm.