The absence of a globally nonsingular three-parameter representation of rotations forces attitude Kalman filters to estimate either a singular or a redundant attitude representation. We compare two filtering strategies using simplified kinematics and measurement models. Our favored strategy estimates a three-parameter representation of attitude deviations from a reference attitude specified by a higher-dimensional nonsingular parameterization. The deviations from the reference are assumed to be small enough to avoid any singularity or discontinuity of the three-dimensional parameterization. We point out some disadvantages of the other strategy, which directly estimates the four-parameter quaternion representation
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real probl...
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real probl...
A new approach for spacecraft absolute attitude estimation based on the unscented Kalman filter (UKF...
The absence of a globally nonsingular three-parameter representation of rotations forces attitude Ka...
In this paper, a Kalman filter formulation for attitude estimation is derived using the Modified Rod...
Kalman filter based spacecraft attitude estimation has been used in many space missions and has been...
In this paper a novel approach is developed for relative state estimation of spacecraft flying in fo...
Copyright © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved...
Copyright © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved...
This paper presents a Kalman filter using a seven-component attitude state vector comprising the ang...
Abstract — There are several attitude estimation algorithms in existence, all of which use local coo...
This work compares the performance of linear attitude estimators; in particular, the classic multipl...
AbstractAimed at low accuracy of attitude determination because of using low-cost components which m...
This paper presents an extended Kalman filter using an attitude parameterization that is advantageou...
Precision attitude determination for recent and planned space missions typically includes quaternion...
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real probl...
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real probl...
A new approach for spacecraft absolute attitude estimation based on the unscented Kalman filter (UKF...
The absence of a globally nonsingular three-parameter representation of rotations forces attitude Ka...
In this paper, a Kalman filter formulation for attitude estimation is derived using the Modified Rod...
Kalman filter based spacecraft attitude estimation has been used in many space missions and has been...
In this paper a novel approach is developed for relative state estimation of spacecraft flying in fo...
Copyright © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved...
Copyright © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved...
This paper presents a Kalman filter using a seven-component attitude state vector comprising the ang...
Abstract — There are several attitude estimation algorithms in existence, all of which use local coo...
This work compares the performance of linear attitude estimators; in particular, the classic multipl...
AbstractAimed at low accuracy of attitude determination because of using low-cost components which m...
This paper presents an extended Kalman filter using an attitude parameterization that is advantageou...
Precision attitude determination for recent and planned space missions typically includes quaternion...
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real probl...
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real probl...
A new approach for spacecraft absolute attitude estimation based on the unscented Kalman filter (UKF...