Performance analysis of device-level SINS/ACFSS deeply integrated navigation method

Hao Zhang; Shiqiao Qin; Xingshu Wang; Guangwen Jiang; Wenfeng Tan

doi:10.1117/12.2246620

25 October 2016 Performance analysis of device-level SINS/ACFSS deeply integrated navigation method

Hao Zhang, Shiqiao Qin, Xingshu Wang, Guangwen Jiang, Wenfeng Tan

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101571O (2016) https://doi.org/10.1117/12.2246620
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

The Strap-Down Inertial Navigation System (SINS) is a widely used navigation system. The combination of SINS and the Celestial Navigation System (CNS) is one of the popular measures to constitute the integrated navigation system. A Star Sensor (SS) is used as a precise attitude determination device in CNS. To solve the problem that the star image obtained by SS under dynamic conditions is motion-blurred, the Attitude Correlated Frames (ACF) is presented and the star sensor which works based on ACF approach is named ACFSS. Depending on the ACF approach, a novel device-level SINS/ACFSS deeply integrated navigation method is proposed in this paper. Feedback to the ACF process from the error of the gyro is one of the typical characters of the SINS/CNS deeply integrated navigation method. Herein, simulation results have verified its validity and efficiency in improving the accuracy of gyro and it can be proved that this method is feasible in theory.

Citation Download Citation

Hao Zhang, Shiqiao Qin, Xingshu Wang, Guangwen Jiang, and Wenfeng Tan "Performance analysis of device-level SINS/ACFSS deeply integrated navigation method", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101571O (25 October 2016); https://doi.org/10.1117/12.2246620

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available