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Multi-sensor federated unscented Kalman filtering algorithm in intermittent observations

Hu Zhentao Hu Yumei Li Song

高技术通讯（英文版）2015，Vol.21Issue(2)：132-139,8.

高技术通讯（英文版）2015，Vol.21Issue(2)：132-139,8.DOI:10.3772/j.issn.1006-6748.2015.02.003

Multi-sensor federated unscented Kalman filtering algorithm in intermittent observations

Hu Zhentao ¹Hu Yumei ²Li Song²

作者信息

1. Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, P.R.China
2. College of Computer and Information Engineering, Henan University, Kaifeng 475004, P.R.China
折叠

摘要

关键词

nonlinear estimation/intermittent observations/unscented Kalman filter/federated filter

Key words

nonlinear estimation/intermittent observations/unscented Kalman filter/federated filter

引用本文复制引用

Hu Zhentao,Hu Yumei,Li Song..Multi-sensor federated unscented Kalman filtering algorithm in intermittent observations[J].高技术通讯（英文版）,2015,21(2):132-139,8.

基金项目

Supported by the National Natural Science Foundation (NNSF) of China under Grant (No.61300214),the Science and Technology Innovation Team Support Plan of Education Department of Henan Province (No.13IRTSTHN021),the Science and Technology Research Key Project of Education Department of Henan Province (No.13A413066),the Basic and Frontier Technology Research Plan of Henan Province (No.132300410148),the Funding Scheme of Young Key Teacher of Henan Province Universities (No.2013GGJS-026),the Key Project of Teaching Reform Research of Henan University (No.HDXJJG2013-07),the Postdoctoral Science Fund of Henan Province (No.2013029) and the Postdoctoral Science Fund of China (No.2014M551999). （NNSF）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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