P. Lazaridis

Continuous-Time Physics-Informed Neural ODEs for Multi-Target Direction of Arrival Tracking

Direction-of-arrival (DoA) estimation has benefited substantially from advances in deep learning architectures. Despite the success of deep learning in static DoA estimation, most existing approaches rely on discrete snapshot processing, which complicates multi-target tracking and limits robustness under irregular samp...