A proposal of an adaptive closed loop system for tracking the aircraft during the approach and landing maneuver is presented. The aircraft path is measured by the MLS integrated with the GPS systems. However, the measured path is combined with additional noise or interference signals that degrade the system performance. Then, the aircraft path should be estimated from noisy observations. In this paper, an adaptive filtering algorithm is applied rather than the Kalman filter to obtain an optimal estimate of the aircraft path to control the aircraft actuators. The adaptive filter coefficients are updated according to the least mean square adaptation algorithm. The performance of the proposed scheme is evaluated through the computer simulation during the lateral and longitudinal aircraft motion. It is concluded that the proposed scheme exhibits high convergence and tracking rates. Also, the proposed scheme produces small fluctuations during the aircraft tracking of an assigned reference path.