This thesis focuses on evaluating the measurement errors in the gimbal system of the SUAV autonomous aircraft developed at NPS. These measurements are used by the vision based target position estimation system developed at NPS. Analysis of the errors inherent in these measurements will help direct future investment in better sensors to improve the estimation system’s performance.