I am trying to write a Kalman Filter for airplane radar tracking, so I generated testing data and now I want to add some white noise to this data. I have tried doing this, but it didn't help. So far I was able to import the data from a spreadsheet and now I need to modify the data in the file.
The generated data consists of position (px, py) and velocity (vx, vy) in two dimensions. The model is very simplified, assuming that the airplane has constant acceleration only in the X direction and the acceleration in Y direction is so small that it can be neglected. Position and velocity is calculated for each the first 100 seconds of the motion.
Any tips, regarding how to implement the abovementioned?