Date of Award
Master of Science in Computer Science
School of Computer Science and Engineering
First Reader/Committee Chair
Khan, Bilal. Ph.D.
This project is an exploration and implementation of an application using Machine Learning (ML) and Artificial Intelligence (AI) techniques which would be capable of automatically tuning Kalman-Filter parameters used in post-flight trajectory estimation software at Edwards Air Force Base (EAFB), CA. The scope of the work in this paper is to design and develop a skeleton application with modular design, where various AI/ML modules could be developed to plug-in to the application for tuning-switch prediction.
Wright, Peter, "Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation" (2023). Electronic Theses, Projects, and Dissertations. 1830.