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Marginalized cubature Kalman filtering algorithm based on linear/nonlinear mixed-Gaussian model

Hu Yumei Hu Zhentao Jin Yong

高技术通讯（英文版）2018，Vol.24Issue(4)：362-368,7.

高技术通讯（英文版）2018，Vol.24Issue(4)：362-368,7.DOI:10.3772/j.issn.1006-6748.2018.04.004

Marginalized cubature Kalman filtering algorithm based on linear/nonlinear mixed-Gaussian model

Hu Yumei ¹Hu Zhentao ²Jin Yong²

作者信息

1. School of Automation, Northwestern Polytechnical University, Xi' an 710129, P.R.China
2. College of Computer and Information Engineering, Henan University, Kaifeng 475004, P.R.China
折叠

摘要

关键词

state estimation/marginalized modeling/mixed-Gaussian model/cubature Kal-man filter

Key words

state estimation/marginalized modeling/mixed-Gaussian model/cubature Kal-man filter

引用本文复制引用

Hu Yumei,Hu Zhentao,Jin Yong..Marginalized cubature Kalman filtering algorithm based on linear/nonlinear mixed-Gaussian model[J].高技术通讯（英文版）,2018,24(4):362-368,7.

基金项目

Supported by the National Natural Science Foundation of China (No.61771006), the Open Foundation of Key Laboratory of Spectral Imaging Technology of the Chinese Academy of Sciences (No.LSIT201711D), the Outstanding Young Cultivation Foundation of Henan University (No. 0000A40366) and the Excellent Chinese and Foreign Youth Exchange Programme of China Science and Technology Association (2017CASTQNJL046). （No.61771006）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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