A Maximum Correntropy Divided Difference Filter for Cooperative Localization

A Maximum Correntropy Divided Difference Filter for Cooperative Localization

This paper derives a new maximum correntropy divided difference filter (DDF) to address the heavy-tailed measurement noise induced by non-Gaussian measurements in cooperative localization of autonomous underwater vehicles. By integrating the advantages of both the DDF and the maximum correntropy cri...

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Bibliographic Details
Main Authors: Chengjiao Sun, Yonggang Zhang, Guoqing Wang, Wei Gao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Maximum correntropy
divided difference filter
cooperative localization
autonomous underwater vehicles
outliers
nonlinear systems
Online Access:https://ieeexplore.ieee.org/document/8419783/

Internet

https://ieeexplore.ieee.org/document/8419783/

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