scholarly journals Assessment of sparse GNSS network for network RTK

2018 ◽  
Vol 8 (1) ◽  
pp. 136-144 ◽  
Author(s):  
Hannu Koivula ◽  
Jaakko Kuokkanen ◽  
Simo Marila ◽  
Sonja Lahtinen ◽  
Tuukka Mattila
Keyword(s):  
Average Distance ◽  
Test Area ◽  
Reference Station ◽  
Station Network ◽  
Network Rtk ◽  
Land Survey ◽  
Network Area ◽  
Gnss Network

Abstract We tested the accuracy and usability of a sparse GNSS reference station network for network RTK (NRTK) using the Finnish permanent GNSS network FinnRef. We modified the configuration of the FinnRef network stations used in NRTK computation. This allowed us to perform the test both inside and outside of the network area using different NRTK methods and two different RTK receivers. In the test area the average distance between the FinnRef stationswas 160 km. As a comparison,we tested also with the commercial Trimnet and HxGN SmartNet positioning services operated by Geotrim Oy and Leica Geosystems Finland, respectively. Tests showed that the horizontal and vertical rms of Trimnet servicewas 16mmand 40 mm, and of HxGN SmartNet service 23mmand 48 mm. The best rms for the sparse NLS (National Land Survey of Finland) Service was 22 mm and 56 mm. These results indicate that a good NRTK solution can be achieved with a sparser network than typically used. This study also indicates, that the methods for NRTK processing can also affect the quality of the solution.

scholarly journals NETWORK RTK PERFORMANCE ANALYSIS: A CASE STUDY IN LATVIA

2016 ◽  
Vol 42 (3) ◽  
pp. 69-74 ◽  
Author(s):  
Didzis Dobelis ◽  
Jānis Zvirgzds
Keyword(s):  
Performance Analysis ◽  
Daily Life ◽  
Reference Station ◽  
Station Network ◽  
Network Rtk ◽  
Kinematic Method ◽  
Gnss Receivers ◽  
The Stability ◽  
Network Approaches

Nowadays the RTK (Real Time Kinematic) method for positioning is used in daily life by different consumers for many purposes. Several different RTK correction techniques are used, starting from single site to network approaches. The GNSS market is filled with receivers from different manufacturers and different capabilities. In this paper we assess the stability of the reference station network transmitted RTK correction. Two different surveying class GNSS receivers in combination with four varied RTK correction techniques under diverse observation conditions are analyzed. This study has been conducted in Latvia, where state wide permanent GNSS reference station network has been maintained since year 2005.

scholarly journals Verification of Operational Analyses Using an Extremely High-Density Surface Station Network

2011 ◽  
Vol 26 (4) ◽  
pp. 572-578 ◽  
Author(s):  
Alexander Kann ◽  
Thomas Haiden ◽  
Klaus von der Emde ◽  
Christine Gruber ◽  
Thomas Kabas ◽  
...  
Keyword(s):  
Complex Terrain ◽  
Average Distance ◽  
Sensitivity Study ◽  
High Density ◽  
Observation Data ◽  
Station Network ◽  
Small Domain ◽  
Surface Station ◽  
Density Surface

Abstract Operational analyses of 2-m temperature, 2-m humidity, and 10-m wind speed are verified independently against observations obtained from the WegenerNet, an extremely high-density, grid-type surface station network in southeastern Austria with an average distance between stations of 1.4 km. The Integrated Nowcasting through Comprehensive Analysis (INCA) system provides high-resolution analyses in space (1 km) and time (1 h) over the eastern Alpine region and has been specially designed for use in complex terrain. The quality of the system is investigated within a small domain with gentle topography ranging in elevation from 250 to 500 m. A comprehensive validation of INCA relative to WegenerNet for a 3-yr period from December 2007 to November 2010 indicates high analysis skill during all seasons. A sensitivity study reveals the importance of a sufficiently dense station network used by the system and, even more important, the relevance of adequate representativeness of the observation data.

scholarly journals First Brazilian Real Time Network DGPS through the Internet: Development, Application and Availability Analyses

2012 ◽  
Vol 2 (1) ◽  
pp. 1-7 ◽  
Author(s):  
D. Alves ◽  
L. Dalbelo ◽  
J. Monico ◽  
M. Shimabukuro
Keyword(s):  
Real Time ◽  
Reference Station ◽  
The Internet ◽  
Atmospheric Effects ◽  
Differential Gps ◽  
Global Positioning ◽  
Gnss Network ◽  
Internet Development ◽  
Development Application

First Brazilian Real Time Network DGPS through the Internet: Development, Application and Availability AnalysesThe Global Positioning System (GPS) is widely used by the civil community. Differential GPS (DGPS) was developed to provide better accuracy than autonomous GPS. The DGPS concept is based on the high correlation of errors due to atmospheric effects, satellite clocks and orbits. However, as the baseline grows, its efficiency decreases because the error correlation is reduced. This limitation can be handled by using a reference station network and applying the network DGPS concept (called NDGPS). In this paper, the goal is to present aspects related to the development and application of NDGPS in real time at the São Paulo state network in Brazil. The NDGPS corrections were computed from data received via the Internet using NTRIP (Networked Transport of RTCM via Internet Protocol). Our implementation was based on BNC (BKG Ntrip Client) software. NDGPS provided RMS improvements of up to 59% in horizontal components and 31% in vertical components when compared to DGPS. The availability of the system, the first of this nature in Brazil, was also analyzed within the context of the SP State GNSS Network, located in the southeastern region of Brazil. The results also serve as an indication of the quality of local internet infrastructure for using in geodetic positioning.

scholarly journals MODERNIZATION OF THE ESTONIAN NATIONAL GNSS REFERENCE STATION NETWORK

2018 ◽  
Vol 44 (2) ◽  
pp. 55-62 ◽  
Author(s):  
Jaanus Metsar ◽  
Karin Kollo ◽  
Artu Ellmann
Keyword(s):  
Real Time ◽  
Global Navigation Satellite System ◽  
Geodetic Network ◽  
Satellite System ◽  
Reference Station ◽  
Navigation Satellite ◽  
Station Network ◽  
The Real ◽  
Gnss Network ◽  
Global Navigation Satellite

The first GNSS (Global Navigation Satellite System) CORS (Continuously Operating Reference Station) in Estonia became operational in 1996. Starting from 2008 four Estonian CORS are incorporated into the EPN (EUREF Permanent GNSS Network). During the years 2014-2015 modernization of the GNSS CORS in Estonia was carried out. Currently the total number of the resulting ESTPOS reference stations is 28. These ESTPOS stations were interconnected to the I order national geodetic network by a special GNSS campaign in 2017. The maintenance and compilation of the ESTPOS based research products is explained. Aspects of the ESTPOS usage, including also the real time surveys, are discussed. Comparisons with SWEPOS (Swedish national GNSS CORS) and FinnRef (Finnish national GNSS CORS) networks indicate possibilities for further ESTPOS developments.

scholarly journals Regional integration of long-term national dense GNSS network solutions

GPS Solutions ◽  
2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Ambrus Kenyeres ◽  
J. G. Bellet ◽  
C. Bruyninx ◽  
A. Caporali ◽  
F. de Doncker ◽  
...  
Keyword(s):  
Regional Integration ◽  
Reference Frames ◽  
Collaborative Effort ◽  
High Quality ◽  
Combined Solution ◽  
Gnss Network ◽  
Constraint Approach ◽  
Gnss Networks

Abstract The EUREF Permanent Network Densification is a collaborative effort of 26 European GNSS analysis centers providing series of daily or weekly station position estimates of dense national and regional GNSS networks, in order to combine them into one homogenized set of station positions and velocities. During the combination, the station meta-data, including station names, DOMES numbers, and position offset definitions were carefully homogenized, position outliers were efficiently eliminated, and the results were cross-checked for any remaining inconsistencies. The results cover the period from March 1999 to January 2017 (GPS week 1000-1933) and include 31 networks with positions and velocities for 3192 stations, well covering Europe. The positions and velocities are expressed in ITRF2014 and ETRF2014 reference frames based on the Minimum Constraint approach using a selected set of ITRF2014 reference stations. The position alignment with the ITRF2014 is at the level of 1.5, 1.2, and 3.2 mm RMS for the East, North, Up components, respectively, while the velocity RMS values are 0.17, 0.14, and 0.38 mm/year for the East, North, and Up components, respectively. The high quality of the combined solution is also reflected by the 1.1, 1.1, and 3.5 mm weighted RMS values for the East, North, and Up components, respectively.

A first look at the Ocean Noise Reference Station Network: The soundscape of Stellwagen Bank National Marine Sanctuary

2016 ◽  
Vol 140 (4) ◽  
pp. 3300-3300
Author(s):  
Samara M. Haver ◽  
Holger Klinck ◽  
Sofie Van Parijs ◽  
Haruyoshi Matsumato ◽  
Robert P. Dziak ◽  
...  
Keyword(s):  
Reference Station ◽  
Station Network ◽  
Ocean Noise

Study on Stochastic Model of Baseline Estimation of GPS Reference Station Network

2012 ◽  
Vol 170-173 ◽  
pp. 2785-2788
Author(s):  
Qiu Ying Guo ◽  
Guang Rong Hao ◽  
Tong Long Zhao
Keyword(s):  
Stochastic Model ◽  
Functional Model ◽  
Convergence Time ◽  
Reference Station ◽  
Observation Data ◽  
Station Network ◽  
Long Baseline ◽  
Calculation Results ◽  
Definition Of ◽  
Baseline Estimation

Baseline estimation is one of the most important links in the data processing of GPS reference station network. Exact definition of functional model and stochastic model of baseline estimation must be required to achieve high precise baseline solutions. The effects on precision of GPS long baseline estimation of three stochastic models are analyzed and compared by computation experiments using observation data of GPS reference station network. Calculation results show that using refined stochastic model can reduce convergence time of baseline solution. For baselines about 100km long in GPS reference station network, baseline precision of float and fixed solutions can be improved about 0.10m and 3mm respectively by satellite elevations compared with standard stochastic model using 10~40 minutes’ observation data and baseline precision of float and fixed solutions can be improved about 0.15m and 5mm respectively by estimated stochastic model based on theory of stationary stochastic process compared with standard stochastic model.

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