Augmentation of XNAV System to an Ultraviolet Sensor-Based Satellite Navigation System

被引：33
作者：
Qiao, Li [1 ]
Liu, Jianye [1 ]
Zheng, Guanglou [1 ]
Xiong, Zhi [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
来源：
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2009年 / 3卷 / 05期
关键词：
Federated filter; integrated navigation system; satellite autonomous navigation; ultraviolet sensor; X-ray pulsar;
D O I：
10.1109/JSTSP.2009.2028380
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
X-ray pulsar-based navigation (XNAV) using one X-ray detector is investigated as an augmentation to the capability of an ultraviolet (UV) sensor-based satellite autonomous navigation system. The satellite state dynamics are analyzed to establish the dynamical equations of the satellite autonomous navigation system. A time transformation equation that accounts for relativistic effects is presented and the measurement model of the XNAV system is derived using pulse phase information from only one pulsar. The measurement model of the UV sensor-based satellite navigation system is presented using the Earth image information from the UV sensor. In order to integrate the measurements from the X-ray sensor and the UV sensor, a federated filter is developed to provide the optimal simultaneous estimation of position and velocity of the satellite. The concept is demonstrated on a GPS orbit and a geosynchronous orbit and it is found that the performance of the integrated satellite navigation system is improved with respect to that of the UV sensor-based satellite navigation system.
引用
收藏
页码：777 / 785
页数：9
相关论文
共 50 条
[41]   The accuracy analysis of the spacecraft autonomous navigation system based on X-ray pulsars [J].
Wu, Jinyuan ;
Yang, Zhaohua ;
Yang, Ningning .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2013, 227 (I1) :121-128
[42]   X-ray pulsar-based navigation system/Sun measurement integrated navigation method for deep space explorer [J].
Wang, Yidi ;
Zheng, Wei ;
Sun, Shouming .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2015, 229 (10) :1843-1852
[43]   Data Fusion of ALV GPS/DR Integrated Navigation System Based on BP Neural Network [J].
Wang, Meiling ;
Fu, Yongwei .
2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-3, 2009, :637-640
[44]   An AUV Navigation System Using an Adaptive Error State Kalman Filter Based on Variational Bayesian [J].
Davari, Narjes ;
Pedro Aguiar, A. ;
de Sousa, Joao Borges .
2018 IEEE/OES AUTONOMOUS UNDERWATER VEHICLE WORKSHOP (AUV), 2018,
[45]   Detection Method of Mitigating Fault of Combined Navigation System Based on Improvement of New Interest Sequence [J].
Fu J. ;
Han H. ;
Dai H. .
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2020, 51 (03) :28-33and50
[46]   Application of Hybrid Filtering Algorithm Based on Neural Network in INS/GPS Integrated Navigation System [J].
Hu, Huaizhong ;
Zhang, Jianbo .
2018 IEEE 4TH INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE 2018), 2018, :317-321
[47]   Accuracy Performance Evaluation Method of Integrated Navigation System Based on two-level FCE [J].
Cheng Jianhua ;
Dong Mingtao ;
Liu Jiaxin .
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, :3869-3874
[48]   A partial discharge detection system based on improved STMS fiber UV sensor [J].
Feng, Yue ;
Shen, Tao ;
Yuan, Weixiang ;
Dai, Xiaoshuang ;
Yuan, Yue ;
Liu, Hongchen ;
Qin, Zhiliang .
OPTICAL FIBER TECHNOLOGY, 2024, 82
[49]   Intelligent navigation for the cruise phase of solar system boundary exploration based on Q-learning EKF [J].
Tao, Wenjian ;
Zhang, Jinxiu ;
Hu, Hang ;
Zhang, Juzheng ;
Sun, Huijie ;
Zeng, Zhankui ;
Song, Jianing ;
Wang, Jihe .
COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (02) :2653-2672
[50]   Reliability Analysis of the Integrated Navigation System Based on Real Trajectory and Calculation of Safety Margin Between Trains [J].
Cho, Seong Yun ;
Chae, Myeong Seok ;
Shin, Kyung Ho .
IEEE ACCESS, 2021, 9 :32986-32996
12345