基于自适应联邦滤波的民机多源导航系统  

Civil Aircraft Multi-Source Navigation System Based on Adaptive Federated Filter

作　　者：汪龙飞 任艳丽[1] 郑智明 Wang Longfei

机构地区：[1]上海大学通信与信息工程学院,上海200444 [2]中国商飞上海飞机设计研究院,上海201210

出　　处：《工业控制计算机》2021年第12期104-107,共4页Industrial Control Computer

摘　　要：在当前民用大型客机航空电子系统中,机载导航系统在其中起着核心的作用。为了解决由于机载导航设备受到导航信号变弱的影响造成综合导航系统精度下降的问题,提出了一种基于子滤波器精度的自适应联邦滤波器,使得在信息的融合过程中,每个信息分配因子与其子滤波器的精度相对应,实现一定程度上的自适应容错。仿真表明,该方法的定位精度优于传统机载导航系统中经典的卡尔曼滤波算法,在较大信号干扰情况下,整个系统的自适应容错能力能够提高20%以上,为民机在复杂信号环境中的精确定位提供了有效的思路和方法。In the current avionics system of large civil aircraft,the airborne navigation system plays a core role.In order to alleviate the accuracy problem of the integrated navigation system caused by the weakening of the navigation signal on the airborne navigation equipment,this paper proposes an adaptive federated filter based on the accuracy of the sub-filters that each information distribution factor is correspond to the accuracy of its sub-filters in the process of information fusion.It can achieve a certain degree of adaptive fault tolerance.Simulations show that the positioning accuracy of this method is better than the classic Kalman filter algorithm in traditional airborne navigation systems.In the case of large signal interference,the adaptive fault tolerance of the entire system can be increased by 20%,which is suitable for civil aircraft in complex signal environments.It can provide effective ideas and methods for precise positioning.

关 键 词：机载导航系统 联邦卡尔曼滤波 自适应容错 信息分配 

分 类 号：V249.3[航空宇航科学与技术—飞行器设计]