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Attitude estimation method based on extended Kalman filter algorithm with 22 dimensional state vector for low-cost agricultural UAV

Wu Helong Pei Xinbiao Li Jihui Gao Huibin Bai Yue

高技术通讯（英文版）2020，Vol.26Issue(2)：125-135,11.

高技术通讯（英文版）2020，Vol.26Issue(2)：125-135,11.DOI:10.3772/j.issn.1006-6748.2020.02.001

Attitude estimation method based on extended Kalman filter algorithm with 22 dimensional state vector for low-cost agricultural UAV

Wu Helong ¹Pei Xinbiao ²Li Jihui ¹Gao Huibin ¹Bai Yue²

作者信息

1. Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,P.R.China
2. University of Chinese Academy of Sciences,Beijing 100049,P.R.China
折叠

摘要

关键词

coaxial sixteen-rotor unmanned aerial vehicle ( UAV )/extended Kalman filter ( EKF)/quaternion/low-cost

Key words

coaxial sixteen-rotor unmanned aerial vehicle ( UAV )/extended Kalman filter ( EKF)/quaternion/low-cost

引用本文复制引用

Wu Helong,Pei Xinbiao,Li Jihui,Gao Huibin,Bai Yue..Attitude estimation method based on extended Kalman filter algorithm with 22 dimensional state vector for low-cost agricultural UAV[J].高技术通讯（英文版）,2020,26(2):125-135,11.

基金项目

Supported bythe National Natural Science Foundation of China(No.11372309,61304017),Youth Innovation Promotion Association(No.2014192),the Provincial Special Funds Project of Science and Technology Cooperation(No.2017SYHZ0024)and Key Technology Development Project of Jilin Province(No.20150204074GX). （No.11372309,61304017）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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