Improved Robust High-Degree Cubature Kalman Filter Based on Novel Cubature Formula and Maximum Correntropy Criterion with Application to Surface Target Tracking

Improved Robust High-Degree Cubature Kalman Filter Based on Novel Cubature Formula and Maximum Correntropy Criterion with Application to Surface Target Tracking

Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non-Gaussian noise (such as scattering noise) in practi...

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Bibliographic Details
Main Authors: Tianjing Wang, Lanyong Zhang, Sheng Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Marine Science and Engineering
Subjects:
maximum correntropy criterion
fully symmetric cubature criterion
weighted least-squares method
cubature Kalman filter
surface target tracking
Online Access:https://www.mdpi.com/2077-1312/10/8/1070

Internet

https://www.mdpi.com/2077-1312/10/8/1070

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