Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (4): 844-853.doi: 10.21629/JSEE.2018.04.19

• Software Algorithm and Simulation • Previous Articles     Next Articles

Multi-channel signal parameters joint optimization for GNSS terminals

Ju HUO1(), Yunhui LI2(), Ming YANG2,*()   

  1. 1 School of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
    2 Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China
  • Received:2017-06-09 Online:2018-08-01 Published:2018-08-30
  • Contact: Ming YANG E-mail:torch@hit.edu.cn;lyaprunov@163.com;myang@hit.edu.cn
  • About author:HUO Ju was born in 1977. He received his Ph.D. degree from School of Astronautics, Harbin Institute of Technology. He is a professor and a doctoral supervisor in Harbin Institute of Technology. So far he has published more than 40 papers, among which seven papers were indexed by SCI and twenty papers were indexed by EI. His current research interests include vision measurement, computer vision and semi-physical simulation. E-mail: torch@hit.edu.cn|LI Yunhui was born in 1987. He is now a Ph.D. candidate in School of Astronautics, Harbin Institute of Technology. His current research interests include vision measurement, computer vision and semi-physical simulation. E-mail: lyaprunov@163.com|YANG Ming was born in 1963. He received his M.S. and Ph.D. degrees from School of Astronautics, Harbin Institute of Technology. He is the assistant president of China Simulation Federation, and a professor and a doctoral supervisor in Harbin Institute of Technology. So far he has published more than 100 papers, among which twenty papers were indexed by SCI and sixty papers were indexed by EI. His current research interests include aircraft guidance and control, complex system simulation theory and method, computer vision and semiphysical simulation. E-mail: myang@hit.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(61473100);This work was supported by the National Natural Science Foundation of China (61473100)

Abstract:

In order to achieve a high precision in three-dimensional (3D) multi-camera measurement system, an efficient multi-camera calibration method is proposed. A stitching method of large scale calibration targets is deduced, and a fundamental of multi-camera calibration based on the large scale calibration target is provided. To avoid the shortcomings of the method, the vector differences of reprojection error with the presence of the constraint condition of the constant rigid body transformation is modelled, and minimized by the Levenberg-Marquardt (LM) method. Results of the simulation and observation data calibration experiment show that the accuracy of the system calibrated by the proposed method reaches 2 mm when measuring distance section of 20 000 mm and scale section of 7 000 mm × 7 000 mm. Consequently, the proposed method of multi-camera calibration performs better than the fundamental in stability. This technique offers a more uniform error distribution for measuring large scale space.

Key words: vision measurement, multi-camera calibration, field stitching, vector error