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
Link To Document :
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