Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending

Adaptively Robust Square-Root Cubature Kalman Filter Based on Amending

To solve the problem of decreased filtering accuracy and even filter divergence for the case that the model errors and measurement outliers exist simultaneously, an adaptively robust square-root cubature Kalman filter (SRCKF) based on amending is proposed in this paper. Based on the error analysis,...

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Bibliographic Details
Main Authors: Chunhui Li, Jian Ma, Yongjian Yang, Bingsong Xiao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptively robust filter
adaptive amendment
measurement outliers
model errors
square-root cubature Kalman filter
Online Access:https://ieeexplore.ieee.org/document/9385127/

Internet

https://ieeexplore.ieee.org/document/9385127/

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