Inertial Navigation Systems for UAV: Uncertainty and Error Measurements

The INS systems, from the first realizations on, have enjoyed a strong push to miniaturization. On the one hand, this has made them less prone to various mechanical-electrical problems and therefore reduced many of the errors due to technology. On the other hand, the intrinsic errors due to the inseparable error of the instrument remains. This paper examines a simple methodology for filtering and deleting the propagation errors of the INS systems. Most of the errors that can be mathematically compensated through an appropriate series of Kalman's filters.