制导率未知时返回弹道自适应抗差滤波计算

Calculation of Adaptive Robust Filtering for Reentry Trajectory under Unknown Guidance Rate

针对制导率未知状态下返回弹道的自适应抗差估计问题,基于工程实际情况建立了一种无迹卡尔曼滤波(Unscented Kalman Filter,UKF)算法,给出了状态模型及观测模型,并运用基于机动检测及模型切换的自适应处理方法、基于加速度模型补偿的自适应处理方法来实现对返回段机动过程的实时跟踪。仿真计算结果表明,所给出的计算方法是可行的,所提出的基于加速度模型补偿的自适应处理算法较好地实现了对返回弹道的抗差估计处理。研究结果对返回弹道实时估计有一定的参考价值。

For the problem of adaptive robust estimation of the reentry trajectory under the unknown guidance rate,the UKF filtering algorithm is proposed based on the actual engineering situation,the state model and the observation model are given.Then an adaptive processing method based on maneuver detection and model switching,and a method based on acceleration model compensation are used to achieve real-time tracking of the maneuvering process of the reentry phase.The simulation calculation results show that the given method is feasible,and the proposed adaptive processing algorithm based on acceleration model compensation achieves a robust estimation of the reentry trajectory.The research results have some certain reference value for the real-time estimation of the reentry trajectory.