Adaptive Maximum Correntropy Gaussian Filter Based on Variational Bayes

Adaptive Maximum Correntropy Gaussian Filter Based on Variational Bayes

In this paper, we investigate the state estimation of systems with unknown covariance non-Gaussian measurement noise. A novel improved Gaussian filter (GF) is proposed, where the maximum correntropy criterion (MCC) is used to suppress the pollution of non-Gaussian measurement noise and its covarianc...

Full description

Bibliographic Details
Main Authors: Guoqing Wang, Zhongxing Gao, Yonggang Zhang, Bin Ma
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
Gaussian filter
maximum correntropy criterion
variational Bayes
Kalman filter
Online Access:http://www.mdpi.com/1424-8220/18/6/1960

Similar Items

Similar Items