Error-Space Estimate Method for Synergic Target Tracking

To improve tracking accuracy and stability of optic-electronic target tracking system, the conception of generalized synergic target and an algorithm named error-space estimation method are presented. In this algorithm, the motion of target is described by leading data and leading errors, then maneuver of target is separated into leading data and leading errors to reduce maneuver level. The prediction data of target position are acquired by synthesizing the filtering data from target state-space according to kinematics model and the prediction data from error-space according to leading error model. Differing from typical multi-model method, the kinematics model and leading error model work concurrently rather than switch between models. Experiment results show that the performance of the algorithm is better than Kalman filter and strong tracking filter at same maneuver level.