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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.
In order to improve the capability of satellite autonomous navigation, a Pulsar / CNS integrated navigation method is proposed. During the pulse observation, only the position information provided by celestial navigation is used to locate the satellite. Once a pulse arrival time is generated, The UKF (Unscented Kalman Filter) based on MMAE (Unscented Kalman Filter) fuses the information provided by celestial navigation and pulsar navigation to solve such problems as the nonlinearity of the integrated navigation system and the uncertainty of the pulse arrival time. Compared with the astronomical navigation method, the positioning accuracy of the integrated navigation method is improved by 55%, and the multi-model filtering has higher position estimation accuracy than the single model filtering.