A dual adaptive model estimator for target tracking

The unknown maneuvers of targets are analyzed and divided into four modes. They are the -maneuver, critical maneuver, weak maneuver and strong maneuver modes. Based on this division, a new adaptive target state estimator is proposed. This estimator consists of a 2nd order adaptive model for maneuver-detection and a 3rd order adaptive model for maneuver-level estimation. This proposed estimator is used to track five different basic target motions. Monte-Carlo simulation is used to study the performance of the proposed estimator and results show that the estimator gives excellent performance.