Kalman Filtering techniques are combined with a semianalytical orbit generator to develoo two sequential orbit determination algorithms, analogous to the standard Linearized Kalman Filter (LKF) and Extended Kalman Filter (EKF), respectively. The new.__algorithms are called the Semianalytical Kalman. Filter (SKF) and- the Extended Semianalytical Kalman Filter ( ESKF). The design implications of the interaction between the filter and the perturbations theory are discussed. The results of numerical tests conducted to verify design assumptions are presented. The new algorithms were imlemented in the testbed provided by the Research and Development version of the Goddard Trajectory Determination System (Ri) GTDS). They ar
The use of an extended Kalman filter (EKF) for operational orbit determination support is being cons...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The Kalman filter arose out of R.E. Kalman’s interest in applying the concept of state vectors to th...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1983.MI...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1982.MICROFIC...
The nonlinear problem of tracking and predicting where a satellite will be over some time can be dif...
Modifications to the extended Kalman filter and the Jazwinski filter are made and compared with the ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.Th...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
This research assesses the performance of filtering schemes for tracking uncooperative satellites th...
As a unified extension of a group of related mathematical procedures, Kalman filtering is of assista...
A Kalman Filter used in antenna tracking system is to determine the optimal trajectory of a low eart...
Estimation problems have to be solved in several space applications. During rendezvous to a target s...
International audienceSpaceborne gravity gradients are proposed in this paper to provide autonomous ...
The Extended Kalman Filter (EKF) is the most popular non-linear estimation algorithm due to its comp...
The use of an extended Kalman filter (EKF) for operational orbit determination support is being cons...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The Kalman filter arose out of R.E. Kalman’s interest in applying the concept of state vectors to th...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1983.MI...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1982.MICROFIC...
The nonlinear problem of tracking and predicting where a satellite will be over some time can be dif...
Modifications to the extended Kalman filter and the Jazwinski filter are made and compared with the ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.Th...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
This research assesses the performance of filtering schemes for tracking uncooperative satellites th...
As a unified extension of a group of related mathematical procedures, Kalman filtering is of assista...
A Kalman Filter used in antenna tracking system is to determine the optimal trajectory of a low eart...
Estimation problems have to be solved in several space applications. During rendezvous to a target s...
International audienceSpaceborne gravity gradients are proposed in this paper to provide autonomous ...
The Extended Kalman Filter (EKF) is the most popular non-linear estimation algorithm due to its comp...
The use of an extended Kalman filter (EKF) for operational orbit determination support is being cons...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The Kalman filter arose out of R.E. Kalman’s interest in applying the concept of state vectors to th...