Iman Hosseini
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Iman Hosseini has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Abbas Karami
Department of Mechanical Engineering, Shiraz University of Technology, Shiraz, Iran
1 shared publication - Ali Akbar Safavi
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
1 shared publication Ali Hosseinzadeh
School of Electrical and Computer Engineering , 37551 Shiraz University , Shiraz , Iran
1 shared publicationArsalan Dabbagh
Institute of Mechanics , Shiraz , Iran
1 shared publicationIman Dehbozorgi
School of Electrical and Computer Engineering , 37551 Shiraz University , Shiraz , Iran
1 shared publicationMirko Fiacchini
1 shared publication
Latest Publications
- 28 January 2025
- Published by Walter de Gruyter GmbH in Journal of Applied Geodesy
- Vol. 19 (4) , 585-594
Advancing magnetometer calibration: a sequential tri-axis approach
This paper presents a comparative study on the calibration of magnetometer sensors, focusing on three methods: the least square method, the ellipsoid fitting method, and a proposed sequential method. The effectiveness of the first two methods is investigated, and their results are compared with the outcomes achieved through the application of the sequential method. Practical data is utilized to demonstrate the advantages of the proposed method. Through this research, insights are provided into the performance and limitations of the least square and ellipsoid fitting methods, while highlighting the superior capabilities of the sequential method. The results show that the sequential method inherits the capabilities of both method and leads to a more reliable calibration.
- 28 January 2025
- Published by Walter de Gruyter GmbH in Journal of Applied Geodesy
- Vol. 19 (4) , 585-594
Advancing magnetometer calibration: a sequential tri-axis approach
This paper presents a comparative study on the calibration of magnetometer sensors, focusing on three methods: the least square method, the ellipsoid fitting method, and a proposed sequential method. The effectiveness of the first two methods is investigated, and their results are compared with the outcomes achieved through the application of the sequential method. Practical data is utilized to demonstrate the advantages of the proposed method. Through this research, insights are provided into the performance and limitations of the least square and ellipsoid fitting methods, while highlighting the superior capabilities of the sequential method. The results show that the sequential method inherits the capabilities of both method and leads to a more reliable calibration.