Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update process can be carried out utilizing an unscented tr...

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Bibliographic Details
Main Authors: Lijian Yin, Zhihong Deng, Baoyu Huo, Yuanqing Xia, Cheng Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Huber function
unscented Kalman filter
non-Gaussian noise
unscented transform
robustness
Online Access:https://ieeexplore.ieee.org/document/8383973/

Internet

https://ieeexplore.ieee.org/document/8383973/

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