My project:
I am developing a gaming machine with a 3-axis accelerometer and gyroscope, trying to evaluate the position of the car (x, y, z, yaw, pitch), but I have a big problem with my vibration noise (while the car (for example, g = 9 , 81 [m / s ^ 2]) for accelerometers, for example.
I know (because I'm watching this), the noise is correlated for all my sensors
In my first attempt, I tried to figure out the Kalman filter, but it did not work, because the values of my state vectors had really big noise.
EDIT2: In the second attempt, I tried a low-pass filter in front of the Kalman filter, but it only slowed down my system and did not filter out the low noise components. At this point, I realized that this noise may consist of low-frequency and high-frequency components.
I found out about adaptive filters (LMS and RLS), but I realized that I don't have a noise signal, and if I use one accelerometer signal to filter the accelerometer of the other axis, I don't get absolute values, so It doesn’t work.
EDIT: I'm having trouble finding code for adaptive filters. If anyone knows about something like this, I will be very grateful.
Here is my question:
Does anyone know about a filter or have any idea how I can fix it and filter my signals correctly?
Thank you so much in advance
XNOR
PD: , ,