Hi everyone,
I am using Python Wrapper to implement Kalman OD using topocentric GCRF AngularRaDec and Range measurements. Right now I can run it successfully if the measurements are added one by one using estimationStep() or all at once (in a list of AngularRaDecs interleaved by Range) using processMeasurements(). Currently, I add the AngularRaDec and Range measurements separately. I was wondering whether itβd be possible to add them together to be processed in a single Kalman estimation step?
Here are the solutions I have already thought of:
1- Convert topocentric RA/Dec/Range to Cartesian positions and use Position measurements instead. In this case, is there a built-in method to convert topocentric RA/Dec/Range to Cartesian coordinates?
2- Define a new measurement type subclassed from AbstractMeasurement. Iβd need to figure out how properly subclass a new type that Kalman would be happy to consume.