i m having a hard time using Simulink. I m rather new to it.
My problem is:
I have implemented a navigation algorithm.
Now i want to estimate the error using a Kalman Filter.
All my work is based on papers by some other guys, so i m not too familiar, but want to implement it.
The Kalman Filter is discrete.
How do i implement a discrete Kalman Filter in simulink?
My main problem is the ITERATION.
how do i get my covariance matrix P from time k
as the input to the Algorithm again... and how do i set the P for k= 1 ? (initial)
i really need some help
if you didnt understand what i am saying, i can post a simulink model, that have done so far.
thanks a lot
samson
my main problem is the iterative process. i dont know how to deal with it in simulink !
i dont know how to define a initial covariance matrix P for example and then , from the next step, do it iteratively.
i m not familiar with discrete stuff in simulink
thanks in advice,
samson
Phil.
http://www.mathworks.com/matlabcentral/newsreader/view_thread/299489
thanks a lot, that sure helps a lot.
this looks a lot like what i needed. didnt know that there was this extended kalman filter as an example :D
i will take a close look at it!
thanks again,
samson