I have an application that I believe could greatly benefit from a Kalman Filter. Kalman filters are oftentimes used for guidance systems and that is what I need it for - except that I am guiding a boat! However the same filter I understand can also be used to predict (estimate) velocity and position based upon what would normally be considered incomplete information. One example I heard what that a Kalman filter can be used to predict velocity when used with low count encoders - as in low count encoders used on servo motors.
If you do a look up of "Kalman filter" on Youtube you can get an idea of their flexibility. Does anyone have any experience with Kalman filters? I have searched the web for a simple explanation and John Crenshaw of embedded magazine started a series of articles in the March 2011 edition (sort of a Kalman filter for dummies) but he stopped short of publishing the second article which gets into the actual filter software explanation. I found a "primer" on the web that I downloaded. It is a PDF document that is 189 pages long! Where do I start with this?? I get the feeling that if I just grab some source code and implement something it won't work since the filter has to be "setup" to allow the software to properly predict or estimate a value. Thanks, Dave ------------------------------------------------------------------------------ Get a FREE DOWNLOAD! and learn more about uberSVN rich system, user administration capabilities and model configuration. Take the hassle out of deploying and managing Subversion and the tools developers use with it. http://p.sf.net/sfu/wandisco-d2d-2 _______________________________________________ Emc-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/emc-users
