Nonlinear Non-Gaussian Estimation Using Maximum Correntropy Square Root Cubature Information Filtering

Nonlinear Non-Gaussian Estimation Using Maximum Correntropy Square Root Cubature Information Filtering

This paper concerns the nonlinear filter designing methods in the information space of the nonlinear systems with non-Gaussian noises. Firstly, the prediction information vector is obtained by the traditional square root cubature information filtering algorithm. Then, under the maximum correntropy c...

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Bibliographic Details
Main Authors: Xiaoliang Feng, Yuxin Feng, Funa Zhou, Li Ma, Chun-Xi Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Maximum correntropy criterion
information correntropy matrix
square root cubature information filter
Online Access:https://ieeexplore.ieee.org/document/9208661/

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