分布式卫星系统的协同导航估计方法

针对分布式卫星系统对合作目标的协同导航估计问题,提出了前端与后端结合的一种分布式协同导航方法。前端基于一致性算法对无迹卡尔曼滤波方法进行改造进而完成设计,后端基于协方差交集算法并利用快速权值计算方法以及非可加性参数融合方法进行设计。最后基于Matlab以及STK轨道传播模型进行了数值仿真,得到了预期的仿真结果,验证了方法的有效性。

A Cooperative Navigation Estimation Method in Distributed Satellite System

To solve the cooperative navigation problem for a cooperative target with distributed satellites, a cooperative navigation estimation method combined a front end with a back end is proposed. In the front end, design is made by using an unscented Kalman filter modified based on the consensus algorithm. And in the back end, design is made using a covariance intersection algorithm combined with a fast covariance intersection weighting method and an additive fusion method for non additive parameters. Numerical simulation is done with the help of STK and MATLAB, and the validness of the proposed method is demonstrated.