Maximum Correntropy Ensemble Kalman Filter
组织者
演讲者
陶飏天择
时间
2022年12月27日 21:30 至 22:00
地点
Online
摘要
In this presentation, a robust ensemble Kalman filter (EnKF) is proposed for nonlinear state-space model under non-Gaussian state and observation noises. This new EnKF is derived based on maximum correntropy criterion (MCC) cost function with suitable linearized approximation techniques. The experimental simulations demonstrate the effectiveness of the proposed new EnKF in the presence of various non-Gaussian noises.