Modeling Aircraft Disturbance Fields for Magnetic Navigation Using Dense ANNs and the Novel MANNTL Architecture

Author

Kyle A. Emery

Date of Award

3-2021

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Joseph A. Curro, PhD

Abstract

The ability to use GPS for navigation is becoming increasingly limited in certain areas of the world. Knowing this, the Air Force Research Labs is constantly looking for ways to improve alternate navigation methods such as magnetic navigation. In the interest of making advancements in aircraft disturbance field modelling, Lieutenant Emery recreates models from previous works to prove results. Lieutenant Emery also introduces a novel model architecture that attempts to mix the filtering properties of Tolles-Lawson with the non-linear capabilities of an artificial neural network. The introduction of this model could present better aircraft disturbance field modelling and in turn, more reliable magnetic navigation in regions where GPS is not available.

AFIT Designator

AFIT-ENG-MS-21-M-034

DTIC Accession Number

AD1132393

Recommended Citation

Emery, Kyle A., "Modeling Aircraft Disturbance Fields for Magnetic Navigation Using Dense ANNs and the Novel MANNTL Architecture" (2021). Theses and Dissertations. 4894.
https://scholar.afit.edu/etd/4894