广义合作目标跟踪的误差空间估计方法

提出了广义合作目标的概念及误差空间估计方法，提高了光电跟踪系统的跟踪精度与平稳性。该方法采用引导数据与引导误差描述目标的运动，通过将目标的机动分散到引导数据和引导误差，在目标状态空间中根据目标的运动模型进行滤波，在误差空间中根据引导误差模型进行滤波与预测，再进行合成得到目标位置预测数据。实验结果表明在相同的机动水平下，该方法的跟踪性能优于Kalman滤波与强跟踪滤波。

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.