Date of Award

3-2023

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Aaron P. Nielsen, PhD

Abstract

Magnetic navigation (MagNav) has the potential to provide a global form of navigation that uses magnetic measurements of the Earth’s anomaly magnetic field and compares those measurements to a magnetic anomaly map in order to determine the user’s position. Widespread use of MagNav will require a database of fully-sampled, low-altitude magnetic anomaly maps. Existing magnetic anomaly map databases usually come from under- or poorly-sampled surveys. In this work, we provide an easy to follow MagNav anomaly map generation framework and set of survey collection metrics/requirements in an effort to help facilitate and standardize the creation of such a database. We further explore the necessary equipment, sensors, and software algorithms required to conduct a magnetic anomaly survey and generate a map for use with MagNav by generating maps from both simulated and real-world aeromagnetic surveys.

AFIT Designator

AFIT-ENG-MS-23-M-010

Comments

A 12-month embargo was observed.

Approved for public release. Case number on file.

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