Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter-Reference-Cited by-同舟云学术

Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter

Published:2019-01 Issue:2 Volume:63 Page:1038-1050
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Garcia R.V.,Pardal P.C.P.M.,Kuga H.K.,Zanardi M.C.

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference12 articles.

1. Cubature kalman filters;Arasaratnam;IEEE Trans. Autom. Control,2009

2. Particle filtering for attitude estimation using a minimal local-error representation;Cheng;J. Guid. Control Dyn.,2010

3. Unscented filtering for spacecraft attitude estimation;Crassidis;J. Guid. Control Dyn.,2003

4. Fuming, H., Kuga, H.K., 1999. CBERS Simulator Mathematical Models, s.l.: CBTT Project, CBTT//2000/MM/001.

5. Unscented Kalman filter applied to the spacecraft attitude estimation with Euler angle;Garcia;Math. Probl. Eng.,2012

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