I am trying to create an accurate IMU model in Gazebo based off of a real IMU that I am using.
The Gyro specs are:
- Bias instability: 3.5 degrees/hr
- Angular random walk: 0.1 degrees/sqrt(hr)
The Accel specs are:
- Bias instability: 0.1 mg
- Velocity random walk: 0.05 m/s/sqrt(hr)
I understand that I can simply enter in the IMU sensor noise values into the below fields to specify noise characteristics:
- standard deviation
- bias standard deviation
- dynamic bias standard deviation
- dynamic bias correlation time
Problem is, I have no idea how I can convert the bias instability and random walk values into these statistical parameters. Also, I don't have Noise Density values. Would it be absolutely necessary to generate those or are random walk and bias instability fine?
I've looked at Gazebo's example IMU model with noise parameters but the values obtained from the ADIS16448 didn't seem to match the spec sheet.
Thank you!