推广联合滤波算法在卫星组合定姿系统中的应用

Extended federated filtering algorithm and its application in satellite integrated attitude determination system

研究了不同模型下的推广联合滤波算法。基于信息融合理论和信息守恒原理,提出信息分配是信息融合的逆过程的观点,给出和证明了信息分配定理,为推广联合滤波算法提供了理论基础。以某卫星组合姿态确定系统为例,详细讨论了推广联合滤波的结构及其实现过程。理论分析和数学仿真结果表明:推广联合滤波算法比现有的联合滤波算法计算量小,且推广联合滤波算法能够同时保证全局最优和局部最优,而现有的联合滤波算法不是局部最优。

An Extended Federated Filtering (EFF) algorithm is developed which can be applied to integrated navigation system and integrated attitude determination system. According to both information fusion theories and information conversation principle, it is proposed that information allocation is the inverse process of information fusion in EFF algorithm. The information allocation theorem is given and proved, which lays a theoretical foundation for EFF. Taking a certain satellite integrated attitude determination system as an example, the realization of EFF is discussed in detail. The theoretical analysis and simulation results show that EFF algorithm is less computation than present federated filtering algorithm, and EFF can guarantee both local optimum and global optimum, while present federated filter can only guarantee global optimum.