Development of a computationally efficient algorithm for attitude estimation of a remote sensing satellite

Amir Labibian; Amir Hossein Bahrami; Javad Haghshenas

doi:10.1117/12.2280005

29 September 2017 Development of a computationally efficient algorithm for attitude estimation of a remote sensing satellite

Amir Labibian, Amir Hossein Bahrami, Javad Haghshenas

Author Affiliations +

Proceedings Volume 10423, Sensors, Systems, and Next-Generation Satellites XXI; 1042326 (2017) https://doi.org/10.1117/12.2280005
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

This paper presents a computationally efficient algorithm for attitude estimation of remote a sensing satellite. In this study, gyro, magnetometer, sun sensor and star tracker are used in Extended Kalman Filter (EKF) structure for the purpose of Attitude Determination (AD). However, utilizing all of the measurement data simultaneously in EKF structure increases computational burden. Specifically, assuming n observation vectors, an inverse of a 3n×3n matrix is required for gain calculation. In order to solve this problem, an efficient version of EKF, namely Murrell’s version, is employed. This method utilizes measurements separately at each sampling time for gain computation. Therefore, an inverse of a 3n×3n matrix is replaced by an inverse of a 3×3 matrix for each measurement vector. Moreover, gyro drifts during the time can reduce the pointing accuracy. Therefore, a calibration algorithm is utilized for estimation of the main gyro parameters.

Citation Download Citation

Amir Labibian, Amir Hossein Bahrami, and Javad Haghshenas "Development of a computationally efficient algorithm for attitude estimation of a remote sensing satellite", Proc. SPIE 10423, Sensors, Systems, and Next-Generation Satellites XXI, 1042326 (29 September 2017); https://doi.org/10.1117/12.2280005

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