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Adaptive cubature Kalman filter based on variational Bayesian inference under measurement uncertainty

HU Zhentao JIA Haoqian GONG Delong

高技术通讯（英文版）2022，Vol.28Issue(4)：354-362,9.

高技术通讯（英文版）2022，Vol.28Issue(4)：354-362,9.DOI:10.3772/j.issn.1006-6748.2022.04.003

Adaptive cubature Kalman filter based on variational Bayesian inference under measurement uncertainty

HU Zhentao ¹JIA Haoqian ¹GONG Delong²

作者信息

1. School of Artificial Intelligence,Henan University,Zhengzhou 450046,P.R.China
2. Laboratory and Equipment Management Office,Henan University,Zhengzhou 450046,P.R.China
折叠

摘要

关键词

variational Bayesian inference/cubature Kalman filter ( CKF)/measurement un-certainty/Inverse-Wishart ( IW) distribution

Key words

variational Bayesian inference/cubature Kalman filter ( CKF)/measurement un-certainty/Inverse-Wishart ( IW) distribution

引用本文复制引用

HU Zhentao,JIA Haoqian,GONG Delong..Adaptive cubature Kalman filter based on variational Bayesian inference under measurement uncertainty[J].高技术通讯（英文版）,2022,28(4):354-362,9.

基金项目

Supported by the National Natural Science Foundation of China(No.61976080),the Science and Technology Key Project of Science and Technology Department of Henan Province(No.212102310298),the Academic Degrees&Graduate Education Reform Project of Henan Province(No.2021SJGLX195Y)and the Innovation and Quality Improvement Project for Graduate Education of Henan University(No.SYL20010101). （No.61976080）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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