A new autonomous celestial navigation method for Mars probe

Tingting Song; Xiaolin Ning; Wenbo Yu

doi:10.1117/12.717455

6 November 2006 A new autonomous celestial navigation method for Mars probe

Tingting Song, Xiaolin Ning, Wenbo Yu

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63574N (2006) https://doi.org/10.1117/12.717455
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

This paper focuses on a new celestial navigation method for Mars probe on the transferring orbit. The dynamical model is established first. Then the celestial measurement is obtained by two ways, one is to choose the angles between the line of sight vectors from the Sun, the Earth and the Mars to the probe, the other kind of celestial measurement is the measurement of angles between the Sun, the Earth, the Mars and three stars. Autonomous orbit navigation is obtained by Unscented Kalman Filter (UKF). The simulation illustrates that the latter way is much better than the first one at the precision.

Citation Download Citation

Tingting Song, Xiaolin Ning, and Wenbo Yu "A new autonomous celestial navigation method for Mars probe", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63574N (6 November 2006); https://doi.org/10.1117/12.717455

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