On 12/17/2014 05:07 PM, Keith Packard wrote: > Effectively yes, but each of these are done in the context of the > physical model which is the predictive part of the Kalman filter. A > Kalman filter is a way of estimating the state of a hidden Markov chain > using noisy sensors along with a model of the Markov system > itself. We're running predictive Newtonian model of the rocket assuming > a constant acceleration (which is a good estimate near apogee), and then > constantly correcting the model based on sensor input.
I would be interested in learning more about the above from a theory/math (not coding) point of view. Do you have a list of resources that would be a good starting point? Thanks Steve -- -------------------------------------------------------------------------- Steven Saner <[email protected]> KD0IJP Andover, Kansas USA _______________________________________________ altusmetrum mailing list [email protected] http://lists.gag.com/mailman/listinfo/altusmetrum
