Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering

The extended Kalman filter (EKF) is a method extensively applied in many areas, particularly, in nonlinear target tracking. The optimization criterion commonly used in EKF is the celebrated minimum mean square error (MMSE) criterion, which exhibits excellent performance under Gaussian noise assumpti...

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Bibliographic Details
Published in:	IEEE transactions on systems, man, and cybernetics. Systems Vol. 51; no. 5; pp. 3093 - 3102
Main Authors:	Liu, Xi, Ren, Zhigang, Lyu, Hongqiang, Jiang, Zhihong, Ren, Pengju, Chen, Badong
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.05.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Covariance matrices Criteria Extended Kalman filter Extended Kalman filter (EKF) fixed-point algorithm Iterative algorithms Iterative methods Kalman filters Kernel Linear regression Mathematical model maximum correntropy criterion (MCC) Noise measurement Nonlinear filters Optimization Performance degradation Random noise Regression models Tracking
ISSN:	2168-2216, 2168-2232
Online Access:	Get full text
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