Research of vehicle target recognition based information fusion technology of federal Kalman filter

It is major way to recognize and damage enemy's vehicle target. Defensive weapon can hold back enemy forward and get more time for us. It is primary to reorganization enemy's vehicle target efficaciously. Performances of decentralized and aggregated filter were analyzed and point out the defects when they are applied to a multisensor system. It can improve more on the fault-tolerating ability and the accuracy of the system because of working on the theory of system message distribution with two sensors or more. Using the information fusion technology based federal Kalman filter to recognize vehicle target with the signal of magnetic and sound. The test result is available to compared with other filter.