Date of Award


Document Type


Degree Name

Master of Science


Department of Electrical and Computer Engineering

First Advisor

Mikel M. Miller, PhD


Several past research efforts have developed methods to take advantage of Global Positioning System (UPS) positioning and apply it to a precision landing system (PLS). There have been proposals to phase out the current Instrument Landing System (ILS) in favor of a more cost-efficient and effective system. Accomplishments have been made in detailing a system implementing an INS aided with differential UPS, a UPS pseudolite, and a radar altimeter to handle the critical PLS requirements. This research applies the newly developed Modified Multiple Model Adaptive Estimation (M3AE) architecture in an attempt to enhance the performance of a PLS in an environment involving UPS interference. The M3AE uses Multiple Model Adaptive Estimation (MMAE) and Kalman filtering techniques to estimate the levels of interference and the navigation performance of the aircraft simultaneously. In addition, in the original development of M3AE, the truth and filter model used were of the same order. This research serves as a demonstration of M3AE applied to system where the truth model is of a higher order than the filter model.

AFIT Designator


DTIC Accession Number