2 papers
eess.SY2026
CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework
Shida Jiang, Shengyu Tao, Zihe Liu +1
The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statist…
eess.SY2026
Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation
Shida Jiang, Jaewoong Lee, Shengyu Tao +1
Nonlinear extensions of the Kalman filter (KF), such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are indispensable for state estimation in complex dy…