2 papers
eess.SY2026
Change-Aware Self-Adaptive AI-Aided Kalman Filters With Neural Change Point Detection
Wenyi Zhang, Xiaoyong Ni, Nir Shlezinger +1
The paper proposes CASA‑KalmanNet, an online self‑adaptive Kalman filter that uses a neural change‑point detector to monitor internal reliability indicators and adjust learning whe…
cs.IT2026
On the Convergence of Belief Propagation for Multipath Data Association in Target Tracking
Kuilong Yang, Zengfu Wang, Hua Lan +1
Belief propagation (BP) is widely used for data association (DA) in target tracking. Existing convergence analyses of BP for DA address only the two-way correspondence between targ…