Open access
Jul 2026
Deep Learning for Space Debris Tracking: One-Step Tracklet Filtering with a Hybrid GRU-CNN Architecture
A hybrid deep learning framework for learned one-step tracklet filtering of radar measurements that achieves lower filtering error and improved robustness under severe non-Gaussian disturbances, compared with EKF- and UKF-based analytical baselines.
A. Cabras, Niccolò Pilloni, Victor Mustieles-Pérez et al.
· AI Sensors · 0 citations