Secure Navigation Through GPS/INS Integration: Comparative Analysis of Supervised Deep Learning and Kalman Filtering for Precision and Spoofing Detection

The main objective of this study is to present a comparative analysis of navigation security methods utilizing Kalman filtering and supervised deep learning algorithms, specifically a Convolutional Neural Network (CNN), within intelligent systems based on the Global Positioning System (GPS) and the...

Descripció completa

Dades bibliogràfiques

Autors principals:	Mohammed Aftatah, Abdelhak Khalil, Khalid Zebbara
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Kalman filter deep learning algorithms sensor fusion secure navigation GPS spoofing INS
Accés en línia:	https://ieeexplore.ieee.org/document/11367623/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!