GPS外测数据异常情况下的稳健组合导航算法

A Robust Integrated Navigation Algorithm in Tracking Data Abnormality Condition

针对弹道导弹高动态飞行过程中可能存在的GPS外测数据异常或丢帧的问题,提出一种融合卡尔曼滤波与最小二乘法的稳健组合导航算法。介绍算法思路与流程,设计计算模型,并针对主动段飞行弹道做仿真计算。仿真结果表明,算法在保证较高计算精度的同时,有效保持了外测数据异常情况下组合导航系统的稳健性,并在低计算量水平下实现了状态参数估计值的密化。

Aiming at the tracking data abnormality and missing during high dynamic flight phase of ballistic missile, a robust integrated navigation algorithm is proposed. The idea and flow of the algorithm are introduced, the calculation model is designed, and the simulation based on boost - phase trajectory is made. The results show that, the robustness of integrated navigation system is maintained in the case of tracking data abnormality, the calculation accuracy is high enough, and the state parameter estimation val- ues are densified on the premise of low computation quantity.