14 / 2023-03-22 17:38:18
A novel method for efficient combination of SINEX files using a stepwise approach
SINEX file combination, nonlinear Gauss-Markov model, total adjustment, sequential adjustment
Abstract Accepted
Peng Lin / Anhui Jianzhu University
Long Teng / Anhui Jianzhu Univeisity
The traditional SINEX combination method uses the total adjustment principle to obtain the least-squares solution of the transformation parameters between two frames. However, due to the large amount of data in SINEX files, the complexity of high-dimensional matrix operations affects the efficiency of the traditional combination method. To address the above efficiency problems, this paper proposes a new stepwise combination method for batch combination of SINEX files based on sequential adjustment and using recursive approach. Experiments are conducted to validate and analyze the new method by using the combination of SINEX files under the ITRF2008 framework and EPN framework as a case study. The results show that (1) the solution results obtained by the new method remain consistent with the traditional method, but the computational efficiency is improved by 91%; (2) after grouping the observations of 12 periods, the efficiency of the new method is improved by up to 98% as the number of groups increases. The experimental results show that the new method can greatly improve the poor efficiency of the traditional combination method with guaranteed accuracy, especially when multiple SINEX files are combined, and provide a new solution for SINEX file combination.
Important Date
  • Conference Date

    Oct 26

    2023

    to

    Oct 29

    2023

  • Oct 15 2023

    Abstract Submission Deadline

  • Oct 15 2023

    Draft paper submission deadline

  • Nov 13 2023

    Registration deadline

Sponsored By
International Society for Mine Surveying
China Coal Society
China Surveying and Mapping Society
Organized By
中国矿业大学
中国煤炭科工集团有限公司