The dual-frequency calibration of ionosphere influence in VLBA data processing

2007 ◽  
Vol 26 (6) ◽  
pp. 671-674
Author(s):  
A. Chuprikov
2015 ◽  
Vol 713-715 ◽  
pp. 504-507
Author(s):  
Yin Lin Wu ◽  
Wei Wei Yi

Traditional method to correcting ionosphere delay error faces the problem of accuracy and universality. This paper put forward by using multifrequency measuring data to correct ionosphere delay error. The precision of satellite positioning data processing can be improved effectively by dual-frequency first order correct and three frequency second orders correct. The experiment shows that method in this paper has higher precision and more universal than traditional way.


2010 ◽  
Vol 46 (2) ◽  
pp. 130-135 ◽  
Author(s):  
X. Zou ◽  
Z. Deng ◽  
M. Ge ◽  
G. Dick ◽  
W. Jiang ◽  
...  

2020 ◽  
Author(s):  
Bryan Stressler ◽  
Jacob Heck ◽  
Andria Bilich ◽  
Clement Ogaja

<p>The U.S. National Geodetic Survey (NGS) is undertaking a project to replace and modernize its global navigation satellite system (GNSS) processing software that has been in use for several decades. The goals of this project are to: 1) transition from dual-frequency GPS-only to multi-constellation multi-frequency data processing, 2) develop well-documented modular and extensible software written in modern programming and scripting languages, and 3) replace the operational PAGES software suite as the processing engine responsible for monitoring the NOAA Continuously Operating Reference System Network (NCN), orbit production for the International GNSS Service (IGS) combinations, and the Online Positioning User Service (OPUS). To date, the GNSS software team at NGS has developed the foundational software libraries and tools needed for GNSS data processing (e.g, RINEX readers, standard GNSS models) and has begun to produce double-difference baseline solutions with the new software. This valuable first step enables us to compare solutions from the new software with those of the legacy PAGES software. Here we present our preliminary solutions, compare them with those of PAGES, and discuss the next steps to improve the positioning accuracy and to take full advantage of multi-GNSS observations.</p>


2014 ◽  
Vol 4 (1) ◽  
Author(s):  
M. Berber ◽  
A. Ustun ◽  
M. Yetkin

AbstractRecently, many organizations have begun providing online GNSS (Global Navigation Satellite System) data processing services. Currently, only one of these organizations i.e., OPUS (On-line Positioning Users Service) provides a rapid static data processing option. In case of static online data processing, the users are required to submit at least two hours of data to get reasonably precise results. To provide processing option with less than two hours of data, NGS (National Geodetic Survey) developed OPUS–RS for rapid static data processing so that usersmay submit as little as 15 minutes of dual frequency GNSS data. In this study, multiple observation sessions are conducted at the same locations to compare OPUS-RS generated coordinates among the different sessions to see whether separate values agree with each other. The results indicate that with OPUS-RS results the differences in horizontal coordinates agree with each other within 3.5 cm and vertical coordinates agree within 7.2 cm. For an independent check, OPUS-RS results are also compared against LGO(Leica Geo Office) produced Static results; this comparison yielded up to 4.5 cm variations among horizontal coordinate differences and variations among vertical coordinate differences are up to 11.4 cm.


1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.


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