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Federal extended Kalman filter based on reconstructed observation in incomplete observations

Hu Zhentao Liu Jie Yang Yanan

高技术通讯（英文版）2018，Vol.24Issue(3)：241-248,8.

高技术通讯（英文版）2018，Vol.24Issue(3)：241-248,8.DOI:10.3772/j.issn.1006-6748.2018.03.003

Federal extended Kalman filter based on reconstructed observation in incomplete observations

Hu Zhentao ¹Liu Jie ¹Yang Yanan¹

作者信息

1. College of Computer and Information Engineering , Henan University, Kaifeng 475004, P.R.China
折叠

摘要

关键词

multi-sensor observation/incomplete observations ( IO)/federal extended Kalman filter (FEKF)/reconstructed observation

Key words

multi-sensor observation/incomplete observations ( IO)/federal extended Kalman filter (FEKF)/reconstructed observation

引用本文复制引用

Hu Zhentao,Liu Jie,Yang Yanan..Federal extended Kalman filter based on reconstructed observation in incomplete observations[J].高技术通讯（英文版）,2018,24(3):241-248,8.

基金项目

Supported by the National Nature 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 Basic and Advanced Technology Foundation of Henan Province (No.152300410195). （No.61771006）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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