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A High-accuracy SINS/CNS Integrated Navigation Scheme Based on Overall Optimal Correction

Published online by Cambridge University Press:  12 July 2018

Jiafang Zhu ,
Xinlong Wang ,
Hengnian Li ,
Huan Che  and
Qunsheng Li
Jiafang Zhu
Affiliation:
(School of Astronautics, Beihang University, China)
Xinlong Wang*
Affiliation:
(School of Astronautics, Beihang University, China)
Hengnian Li
Affiliation:
(State Key Lab of Astronautical Dynamics, Xi'an Satellite Control Center, Xi'an 710043, China)
Huan Che
Affiliation:
(Space Star Technology Co., Ltd, Beijing 100086, China)
Qunsheng Li
Affiliation:
(School of Instrumentation Science and Opto-electronics Engineering, Beihang University, China)
*
(E-mail: xlwon@163.com)
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Abstract

In order to utilise the position and attitude information of a Celestial Navigation System (CNS) to aid a Strapdown Inertial Navigation System (SINS) and make it possible to achieve long-range and high-precision navigation, a new SINS/CNS integrated navigation scheme based on overall optimal correction is proposed. Firstly, the optimal installation angle of the star sensor is acquired according to the geometric relationship between the refraction stars area and the star sensor's visual field. Secondly, an analytical method to determine position and horizontal reference is introduced. Thirdly, the mathematical model of the SINS/CNS integrated navigation system is established. Finally, some simulations are carried out to compare the navigation performance of the proposed SINS/CNS integrated scheme with that of the traditional gyro-drift-corrected integration scheme. Simulation results indicate that in the proposed scheme, without the aid of SINS, CNS can provide attitude and position information and the errors of the SINS are able to be estimated and corrected efficiently. Therefore, the navigation performance of the proposed SINS/CNS scheme is superior to that of a more traditional scheme in long-range flight.

Keywords

SINSCNSIntegrated NavigationOverall Optimal Correction
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 6 , November 2018 , pp. 1567 - 1588
Copyright
Copyright © The Royal Institute of Navigation 2018 

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