A New Adaptive Integrity Monitor For the Local Area Augmentation System Utilizing Closed Loop Feed Back

Abstract

This dissertation presents a new set of algorithms and architecture for implementation of a real-time adaptive integrity monitor for a Local Area Augmentation System (LAAS) that utilizes navigation system vertical error in a feedback loop to deterministically set the broadcast integrity parameter σpr_gnd. This unique method for deterministically assessing the error of the ground subsystem of LAAS in real-time and adapting the broadcast integrity parameter σpr_gnd, rather than using current probabilistic models of predicted worst case scenarios to generate a static value of σpr_gnd, provides an increase in system integrity. As a result of the increase in system integrity, an additional benefit of increased system availability is achieved. The research presented in this dissertation demonstrates that the new methodology implemented by the adaptive integrity monitor can deliver performance improvements in both integrity and availability of the LAAS Signal-In-Space.