Adaptive Tuning of the Unscented Kalman Filter for Satellite Attitude Estimation-Reference-Cited by-同舟云学术

Adaptive Tuning of the Unscented Kalman Filter for Satellite Attitude Estimation

Published:2015-05 Issue:3 Volume:28 Page:04014088
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Soken Halil Ersin¹,Sakai Shin-ichiro²

Affiliation:

1. Ph.D. Student, Dept. of Space and Astronautical Science, Graduate Univ. for Advanced Studies (Sokendai), Yoshinodai 3-1-1, Sagamihara, Kanagawa 252-5210, Japan (corresponding author).

2. Associate Professor, Japan Aerospace Exploration Agency (JAXA), Institute of Space and Astronautical Science (ISAS), Yoshinodai 3-1-1, Sagamihara, Kanagawa 252-5210, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000412

Reference17 articles.

1. Demonstration of Adaptive Extended Kalman Filter for Low-Earth-Orbit Formation Estimation Using CDGPS

2. Unscented Filtering for Spacecraft Attitude Estimation

3. Dunik J. Simandl M. and Straka O. (2009). “Methods for estimating state and measurement noise covariance matrices: Aspects and comparison.” Proc. 15th IFAC Symp. System Identification IFAC Publications Oxford U.K. 972–977.

4. Analytic Steady-State Accuracy Solutions for Two Common Spacecraft Attitude Estimators

5. Fosbury A. M. (2011). “Steady-state accuracy solutions of more spacecraft attitude estimators.” Proc. AIAA Guidance Navigation and Control Conf. AIAA Reston VA.

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