After some weeks of suffering with Orekit I finally succeded to put in place a suitable simulator, some IOD methods, a Batch Least Square and a Kalman Filter. For the moment my propagator is just a Keplerian Propagator but I’ll put in place better propagators later.
For the moment I’m just looking for informations about the usage of the differents Kalman filter methods for OD in Orekit.
- Is the Default Kalman estimator in Orekit a Extended Kalman Filter (EKF) ?
- Are the other methods available easely in the library ? I’m thinking especially about Linearized Kalman Filter (LKF), Unscented Kalman Filter (UKF) and if possible Error-State Kalman Filter (ESKF) and Backward Smoothing Extended Kalman Filter (BSEKF).
Any information about that is welcomed because I did not found anything for the moment on the forum of documentation.
Also, I’d like to avoid to pass to numpy matrixes and vectors in order to implement manually those algorithms.
Thank you in advance !