• DocumentCode
    2444686
  • Title

    Research of baseline solution batch processing algorithm for high precision GPS network with massive data

  • Author

    Zhou, Mingduan ; Guo, Jiming ; Guo, Qiuyun ; Li, Chen

  • Author_Institution
    Sch. of Geodesy & Geomatics, Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1476
  • Lastpage
    1479
  • Abstract
    GAMIT is one of the best baseline solution software for high precision GPS data processing. For a certain high precision GPS network with massive data and multiple sessions of single day, the script sh_gamit or others approach fails to achieve batch processing for GPS observations. It is still solved via step by step. However, it´s so cockamamie and inefficient for solving. Base on deathly studying and discussing the approach to baseline solution batch processing for high precision GPS network with massive data, this paper proposed an algorithm of baseline solution batch processing for high precision GPS network-named GBSBPA algorithm. And then, we realized the GBSBPA algorithm base on Bash programming language. Finally, it integrated with baseline surveying engineering high precision GPS control network for the experiment of the GBSBPA algorithm analysis and test, and effective and feasible of the GBSBPA algorithm was verified and automation batch processing of GPS network with massive data was achieved, and we obtained satisfying results.
  • Keywords
    Global Positioning System; Bash programming language; GAMIT; GBSBPA algorithm; baseline solution batch processing algorithm; high precision GPS network; massive data; Algorithm design and analysis; Batch production systems; Data processing; Geodesy; Global Positioning System; Roads; Software algorithms; GAMIT software; GPS; automation batch processing; baseline solution; massive data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964563
  • Filename
    5964563