State estimation for random error reduction in avionic measurement applications

A state estimation algorithm for flight measurement systems is studied for RPV (remotely piloted vehicle) telemetry and control applications. This system transmits real-time measurement data from the airborne system to the ground system. The effectiveness of four adaptive filter techniques used together with bad data elimination in reducing error is investigated theoretically and by simulation. The performance for white error and colored error is tested by simulating of a barometric/inertial system. The adaptation of appropriate filter algorithms for aircraft applications is highlighted.<
>