Comparison of Adaptive Estimation Techniques for Vector Delay/Frequency Tracking
Matthew Lashley, David M. Bevly · AIAA Guidance, Navigation, and Control Conference and Exhibit · 2008
In this paper, several adaptive estimation techniques are applied to a Vector Delay/Frequency Lock Loop (VDFLL) GPS navigation algorithm. The adaptive estimation techniques are used to detect platform maneuvers and to correct the VDFLL’s Kalman filter states for the platform maneuvers. Three different adaptive estimation algorithms are investigated. The first technique is process noise level adjustment. The second is the Variable State Dimension (VSD) approach. The third adaptive algorithm investigated is Input Estimation (IE). The three different techniques are compared through Monte Carlo simulations of a high dynamic flight profile. The mean squared error in the VDFLL’s Kalman filter states is used to determine which adaptive estimation technique performs best.