Download the code, change the parameters (try R=100 or Q=10), and watch how the filter behaves. Break it on purpose—that’s the best way to learn.
If you have specific, complex systems in mind, let me know. I can share examples on: kalman filter for beginners with matlab examples download
You know how fast the drone was moving and in what direction. You can calculate where it should be right now. However, unexpected gusts of wind, motor inefficiencies, and friction create small errors. Over time, these errors accumulate, causing your calculations to drift away from reality. Download the code, change the parameters (try R=100
Try changing the value of R to a very small number like 0.001 and observe how the tracking line instantly begins mimicking the noise. Download the code