An Efficient Approach for Target Tracking and Error Minimization by Kalman Filtering Technique

Target tracking and size estimation have always been an active field of research because of its widely spread applications in navigational, air defense and missile interception systems, etc. In this paper error-minimization and to increase hit probability has been focused keeping in view the limitations imposed by practical constraints. An efficient practical approach has been modeled and tested practically in this research work, which tackles a maneuvering target and its dynamics in real time. The proposed approach develops a dynamic control for target tracking and its operation is based on dynamic switching of dynamic models.