Dual-quaternion-based iterative algorithm of the three dimensional coordinate transformation

• Published in: Earth, planets, and space planets, and space, 2024-01, Vol.76 (1), p.20-19, Article 20
• Main Authors: Zeng, Huaien, Wang, Zhihao, Li, Junfeng, Li, Siyang, Wang, Junjie, Li, Xi
• Format: Article
• Language: English
• Subjects: 3D similarity coordinate transformation; 6. Geodesy; Algorithms; Computation; Coordinate transformations; Datum (elevation); Dual quaternion; Dual quaternion algorithm (DQA); Earth and Environmental Science; Earth Sciences; Errors; Geology; Geophysics/Geodesy; Iterative algorithms; Iterative methods; Numerical experiments; Parameter sensitivity; Quaternion; Quaternions; Rotation; Similarity; Translations; Weighted total least squares (WTLS)
• ISSN: 1880-5981; 1880-5981
• DOI: 10.1186/s40623-024-01967-z

Nowadays a unit quaternion is widely employed to represent the three-dimensional (3D) rotation matrix and then applied to the 3D similarity coordinate transformation. A unit dual quaternion can describe not only the 3D rotation matrix but also the translation vector meanwhile. Thus it is of great potentiality to the 3D coordinate transformation. The paper constructs the 3D similarity coordinate transformation model based on the unit dual quaternion in the sense of errors-in-variables (EIV). By means of linearization by Taylor's formula, Lagrangian extremum principle with constraints, and iterative numerical technique, the Dual Quaternion Algorithm (DQA) of 3D coordinate transformation in weighted total least squares (WTLS) is proposed. The algorithm is capable to not only compute the transformation parameters but also estimate the full precision information of computed parameters. Two numerical experiments involving an actual geodetic datum transformation case and a simulated case from surface fitting are demonstrated. The results indicate that DQA is not sensitive to the initial values of parameters, and obtains the consistent values of transformation parameters with the quaternion algorithm (QA), regardless of the size of the rotation angles and no matter whether the relative errors of coordinates (pseudo-observations) are small or large. Moreover, the DQA is advantageous to the QA. The key advantage is the improvement of estimated precisions of transformation parameters, i.e. the average decrease percent of standard deviations is 18.28%, and biggest decrease percent is 99.36% for the scaled quaternion and translations in the geodetic datum transformation case. Another advantage is the DQA implements the computation and precision estimation of traditional seven transformation parameters (which still are frequent used yet) from dual quaternion, and even could perform the computation and precision estimation of the scaled quaternion. Graphical Abstract