Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences

A recursive update cubature Kalman filter

Authors
Yonggang Zhang, Gang Wang, Ning Li
Corresponding Author
Yonggang Zhang
Available Online October 2015.
DOI
10.2991/iwmecs-15.2015.90How to use a DOI?
Keywords
Recursive update, cubature Kalman filter, iterate cubature Kalman filter.
Abstract

This paper investigates the use of recursive update and proposes a recursive update cubature Kalman filter (RUCKF). Merit of recursive update is a better assimilation of measurement information and realization of nonlinear update on the state. The proposed algorithm is shown to achieve superior performance in terms of efficiency and accuracy when compared to cubature Kalamn filter (CKF), iterated cubature Kalman filter (ICKF) and recursive update filter based on extended Kalman filter (RUF). Illustrative simulation has been provided to prove this conclusion.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
10.2991/iwmecs-15.2015.90
ISSN
2352-538X
DOI
10.2991/iwmecs-15.2015.90How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yonggang Zhang
AU  - Gang Wang
AU  - Ning Li
PY  - 2015/10
DA  - 2015/10
TI  - A recursive update cubature Kalman filter
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 450
EP  - 455
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.90
DO  - 10.2991/iwmecs-15.2015.90
ID  - Zhang2015/10
ER  -