State estimations and noise identifications with intermittent corrupted observations via Bayesian variational inference
arXiv:2604.02738v1 Announce Type: cross
Abstract: This paper focuses on the state estimation problem in distributed sensor networks, where intermittent packet dropouts, corrupted observations, and unknown noise covariances coexist. To tackle this chal…