The Institute of Aerospace Systems at Technische Universitat Braunschweig, Germany develops and operates autonomously operating Mini Aerial Vehicles. Reliable and precise navigation data is essential for automated aerial vehicles. For this purpose, a low cost inertial measurement unit was tightly coupled with a low cost GPS receiver. A navigation Kalman filter (see [9]) has been designed to obtain a stable and accurate navigation solution with low cost sensors. This low cost navigation system was successfully implemented and resulted in excellent performance. For this accurate navigation solution, the GPS aiding is essential due to the use of highly drifting inertial sensors, which are based on micro-electro-mechanical systems. Thus, in case of GPS signal loss the quality of the navigation solution decreases after a short time. In this paper, another source for potential aiding data shall be investigated to compensate those errors due to GPS outages. For this purpose outputs of an air data system like angle of attack, sideslip angle and wind velocities shall be utilised to aid the inertial measurements. To present the potential performance and limitations of such an air data aided system, measurements from the institute's meteorological mini-UAV "M~2AV" are used.
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