模糊Yule-Walker自适应的目标双星跟踪估计

Modified Double Satellite Tracking Estimate of Maneuvering Target Based on Current Statistical Model

高轨静止卫星星座是预警卫星防御系统中的重要一环,一般利用星座的双星仅测角信息对机动目标轨迹进行跟踪估计。考虑机动目标运动的当前统计模型需要预先设定机动频率和最大加速度,不能适应目标实际机动情况,将尤里-沃克(Yule-Walker)方法与模糊推理相结合,利用加速度自相关序列以及新息和新息变化率,在无迹卡尔曼滤波过程中在线实时调整机动频率和最大加速度,实现了一种模糊Yule-Walker方法自适应的机动目标双星跟踪估计。通过仿真证明,上述算法在跟踪精度和收敛速度上都优于传统的当前统计模型滤波算法。

Geosynchronous orbit constellation is an important part of satellite defense system,and it can track Maneuvering Target by angles-only of double satellite. Considering that current statistical model needs to pre-define the value of maximum accelerations and frequency so that it may be difficult to meet actual maneuvering conditions. Combined with Fuzzy inference and Yule-Walker method,it can determines on-line the value of maximum accelerations and frequency based on acceleration autocorrelation sequence and error and change of error in the last prediction during the UKF process. Finally,the paper designed an adaptive double satellite tracking estimate of maneuvering target based on fuzzy Yule-Walker method. The simulation results show that this method outperforms the conventional filter algorithm in both tracking accuracy and convergence rate.