Dandan Wang1,2This email address is being protected from spambots. You need JavaScript enabled to view it., Zhaokun Zhu3, Kaituo Tan1, Hongjie Li4, and Liang Yu1
1School of Mechanical and Electrical Engineering, Huainan normal university, Huainan Anhui,P.R.China, 232038
3School of Information Engineering, Zhengzhou Technology and Business University, Zhengzhou Henan,P.R.China,475000
4College of Electronic Information and Electrical Engineering, Anyang Institute Of Technology, Anyang Henan, P.R. China,455000
Received: April 1, 2023 Accepted: June 30, 2024 Publication Date: September 8, 2024
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
The traditional quaternion is used as the description parameter of the nonlinear state model of the aircraft, and the accuracy of the attitude estimation is presented. A square root cubature Kalman filter algorithm based on quaternion is proposed. The algorithm takes the attitude quaternion error and the gyro drift error as the state quantity, and measures the attitude quaternion of SINS/SLAM navigation. The square root cubature Kalman filter algorithm is used for pose estimation, which not only solves the standardization problem of traditional quaternion, but also reduces the state dimension and complexity of the square root UKF algorithm of traditional quaternion, and improves the numerical stability.
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