Integrated single X-ray pulsar and starlight navigation based on virtual observation value

被引：0
|
作者：
Yang B. [1 ]
Hu S. [1 ,2 ]
Sun H. [1 ]
Xu F. [2 ]
机构：
[1] School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing
[2] Beijing Aerospace Automatic Control Institute, Beijing
来源：
Yang, Bo (yangbo@buaa.edu.cn) | 1600年 / Beijing University of Aeronautics and Astronautics (BUAA)卷 / 42期
基金：
中国国家自然科学基金;
关键词：
Integrated navigation; Neural network; Pulsar; Single detector; Virtual observation value;
D O I：
10.13700/j.bh.1001-5965.2015.0422
中图分类号：
学科分类号：
摘要：
Conventional X-ray pulsar navigation satellite system needs to observe 3 to 4 pulsars at the same time, thus the mass and consumption of the payload will increase. Therefore, the technology using single detector is the key measure to realize X-ray pulsar navigation. In order to solve the problem of poor visibility and low accuracy of X-ray pulsar navigation with single detector, we propose a high accuracy navigation integrated with single X-ray pulsar and starlight navigation based on the centralized Kalman filter using virtual observation value of the pulsar navigation. During the long period of detecting X-ray pulsars, the starlight virtual observations observed at the same time will be added when detecting starlight's observations, so that it can achieve high precision using the centralized Kalman filter within shorter period. Meanwhile, this paper proposes a method using neural network to predict the virtual observation, and compared with the prediction using dynamic method, it can achieve a high order magnitude of 10-7. The results of the simulation show that the method can greatly improve the reliability of the single detector navigation by compensating the navigation error caused by the error of detector the navigation positioning error is 259.79 m, and it can effectively reduce the weight of the navigation system. This can provide reference for the engineering implementation of X-ray pulsar navigation. © 2016, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：1107 / 1115
页数：8
相关论文
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