基于MMAE-UKF的脉冲星/CNS组合导航  

Pulsar/CNS integrated navigation using MMAE-UKF

作　　者：刘劲[1] 马杰[1] 田金文[1] 

机构地区：[1]华中科技大学图像识别与人工智能研究所,湖北武汉430074

出　　处：《华中科技大学学报（自然科学版）》2009年第11期61-64,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家高技术研究发展计划资助项目(2006AAJ109);航空科学基金资助项目(20070818001)

摘　　要：为了提高卫星自主导航能力,提出了一种脉冲星/CNS(天文导航系统)组合导航方法.在脉冲观测期间,仅利用天文导航提供的位置信息对卫星进行定位.一旦产生一个脉冲到达时间,利用基于MMAE(多模型自适应估计)的UKF(无迹卡尔曼滤波器)对天文导航和脉冲星导航提供的信息进行融合,以解决组合导航系统非线性和脉冲到达时间噪声不确定等问题.与天文导航方法相比,该组合导航方法定位精度提高了55%,并且多模型滤波比单模型滤波具有更高的位置估计精度.A pulsar/CNS （celestial navigation system） integrated navigation method was proposed to improve the autonomous navigation capability of satellite. During the pulse observation time, only the position information provided by the celestial navigation was used to determinate the position of the satellite. Once the pulse time-of-arrival was generated, an UKF （unscented Kalman filter） based on MMAE （multiple model adaptive estimation） fused the information provided by the celestial navigation and the pulsar navigation to solve the problem of nonlinear integrated navigation system and the uncertainty of the pulse time-of-arrival noise. Comparison with the celestial navigation method, the integrated navigation method is 55% more in the position accuracy. And the multiple model filtering has higher position estimation accuracy than that of the single model filtering.

关 键 词：组合导航 量测 定位精度 卡尔曼滤波器 卫星 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计] TP273[自动化与计算机技术—检测技术与自动化装置]