DOAJ Open Access 2025

Inferring Inertial Navigation Errors from SAR Image Distortions Using a Convolutional Neural Network

Teresa White Jesse Wheeler Colton Lindstrom Brennan Bean Scott Jenkins +2 lainnya

Abstrak

Unmanned aerial vehicles often rely on the Global Positioning System (GPS) for navigation. GPS signals, however, are very low in power and can be easily jammed or otherwise disrupted. This paper presents a method for estimating the navigation errors present at the beginning of a GPS-denied period using data from a synthetic aperture radar (SAR) system. These errors are estimated by comparing an online-generated SAR image with a reference image obtained a priori. The distortions relative to the reference image are exploited by a convolutional neural network to learn the initial navigation errors, which can be used to recover the true flight trajectory throughout the synthetic aperture. The proposed neural network approach is able to learn to predict the initial errors on both simulated and real SAR image data.

Topik & Kata Kunci

Canals and inland navigation. Waterways Naval Science

Penulis (7)

Teresa White

Jesse Wheeler

Colton Lindstrom

Brennan Bean

Scott Jenkins

Randall Christensen

Kevin R. Moon

Format Sitasi

APA MLA BibTeX

White, T., Wheeler, J., Lindstrom, C., Bean, B., Jenkins, S., Christensen, R. et al. (2025). Inferring Inertial Navigation Errors from SAR Image Distortions Using a Convolutional Neural Network. https://doi.org/10.33012/navi.727

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.33012/navi.727
Akses: Open Access ✓