Kalman filter : update covariance matrix after RADEC measurement

Orekit Python Wrapper usage
1

Hi,

I am trying to evaluate the covariance matrix updated after a RADEC measurement at a final step TF given an initial PV and covariance matrix at initial step T0.

I am quite a new with orekit so i am struggling a litlte bit…
I manage to propagate my covariance, and get what should be the innovation matrix and updated covariance matrix with the RADEC measurment but these last two variables are incorrect. What ever the radec measurement I put i got the same yet non-zero innovative matrix…

I would appreciate any help on the subject :slight_smile:

Here is an extract of my code :
code.txt (5.3 KB)