This paper presents data processing method for Attitude
Heading and Reference System (AHRS) based on Artificial
Neural Networks (ANN). The system consist of MEMS (Micro
Electro-Mechanical Systems) based on Inertial Measurement
Unit (IMU) consisting of tri-axis gyroscopes, accelerometers and
magnetometers providing three dimensional linear accelerations
and angular rates. Training data was generated by simulation
fusion of samples collected during the flight of Quadcopter.
The presented results shows proper functioning of the neural
network. Moreover, the presented system provide the possibility
to easily add other sensors e.g. GPS, in order to achieve better
performance
