Accession Number:

AD1103282

Title:

Improving Aeromagnetic Calibration Using Artificial Neural Networks

Descriptive Note:

Technical Report,01 Sep 2018,26 Mar 2020

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH WRIGHT-PATTERSON AFB United States

Personal Author(s):

Report Date:

2020-03-26

Pagination or Media Count:

99.0

Abstract:

Magnetic anomaly navigation has been shown to be highly successful but only under idealized scenarios. In particular, it has proven itself a viable alternative to GPS only on optimized, geosurvey aircraft. No body of research exists which attempts to address the platform effect problem outside the scope of the de facto calibration equations, known in the literature as Tolles-Lawson. We show an alternative calibration technique which achieves a 90 decrease in aircraft disturbance field strength over the Tolles-Lawson equations using deep learning and artificial neural networks.

Subject Categories:

  • Magnetic and Electric Field Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE