I'm currently working on a labview programme looking at real-time telemetric data. There appears to be a lot of Gaussian noise and I figured that a Kalman filter gain would be the best way to clear this noise to give some clearer data. What would be the best way to go about doing this in Labview?
If you are a beginner, then I suggest that you approach the problem from another direction.
Check the characteristics of the filters that are built into LabVIEW, and choose one that best fits your requirements.
Record a block of real data and make that the default value of some control.
then write a test bed where you control which filter to use, and what parameters, and graph your outputs.
Choose the best filter model and build that into your real code.
If, on the other hand, you are already sure that you need a Kalman filter, then a Google Search for "Kalman Filter LabVIEW" might be helpful.