scholarly journals Performances Comparison of Compact Network RTK User Based on Modelling of Multiple Reference Station Corrections

2013 ◽  
Vol 17 (5) ◽  
pp. 475-483
Author(s):  
June-Sol Song ◽  
Byung-Woon Park ◽  
Chang-Don Kee
Keyword(s):  
Reference Station ◽  
Network Rtk ◽  
Station Corrections ◽  
Multiple Reference

Comparative Analysis of Height-Related Multiple Correction Interpolation Methods with Constraints for Network RTK in Mountainous Areas

2016 ◽  
Vol 69 (5) ◽  
pp. 991-1010 ◽  
Author(s):  
Junesol Song ◽  
Byungwoon Park ◽  
Changdon Kee
Keyword(s):  
Comparative Analysis ◽  
Interpolation Method ◽  
Reference Station ◽  
Tropospheric Delay ◽  
Interpolation Methods ◽  
Network Rtk ◽  
The Usa ◽  
Vertical Positioning ◽  
Multiple Reference ◽  
Gps Observations

In Network RTK (Real-Time Kinematic) positioning, the multiple corrections from the reference stations, which constitute a network, are interpolated for the user location through appropriate interpolation models. There exist various methods to model spatial decorrelation errors from the tropospheric and ionospheric delay, which are the main contributors of the multiple corrections. Since tropospheric delay is largely affected by height differences, the heights of the multiple reference stations should be considered when selecting the appropriate interpolation methods. This work provides a comparative analysis of the different levels of performance of each height-related multiple correction interpolation method. In addition, this study proposes to add constraints to the conventional height-related interpolation methods that are derived from the characteristics of the tropospheric zenith delay variation over height. The actual Global Positioning System (GPS) observations are collected from selected reference station networks located in the USA for performance evaluation. As a result, the proposed solution yields improved vertical positioning accuracy by approximately 10% compared to the conventional interpolation methods for the selected networks.

Analysis of GPS RTK performance using external NOAA tropospheric corrections integrated with a multiple reference station approach

GPS Solutions ◽  
2006 ◽  
Vol 10 (3) ◽  
pp. 171-186 ◽  
Author(s):  
Yong Won Ahn ◽  
G. Lachapelle ◽  
S. Skone ◽  
S. Gutman ◽  
S. Sahm
Keyword(s):  
Reference Station ◽  
Gps Rtk ◽  
Tropospheric Corrections ◽  
Multiple Reference

scholarly journals GPS/BDS RTK Positioning Based on Equivalence Principle Using Multiple Reference Stations

2020 ◽  
Vol 12 (19) ◽  
pp. 3178
Author(s):  
Jian Wang ◽  
Tianhe Xu ◽  
Wenfeng Nie ◽  
Guochang Xu
Keyword(s):  
Equivalence Principle ◽  
Urban Areas ◽  
Unmanned Vehicles ◽  
Global Navigation Satellite Systems ◽  
Reference Station ◽  
Unknown Parameters ◽  
Positioning Accuracy ◽  
Kinematic Positioning ◽  
Parameter Constraints ◽  
Multiple Reference

Reliable real-time kinematic (RTK) is crucially important for emerging global navigation satellite systems (GNSSs) applications, such as drones and unmanned vehicles. The performance of conventional single baseline RTK (SBRTK) with one reference station degrades greatly in dense, urban environments, due to signal blockage and multipath error. The increasing use of multiple reference stations for kinematic positioning can improve RTK positioning accuracy and availability in urban areas. This paper proposes a new algorithm for multi-baseline RTK (MBRTK) positioning based on the equivalence principle. The advantages of the solution are to keep observation independent and increase the redundancy to estimate the unknown parameters. The equivalent double-differenced (DD) observation equations for multiple reference stations are firstly developed through the equivalent transform. A modified Kalman filter with parameter constraints is proposed, as well as a partial ambiguity resolution (PAR) strategy is developed to determine an ambiguity subset. Finally, the static and kinematic experiments are carried out to validate the proposed algorithm. The results demonstrate that, compared with single global positioning system (GPS) and Beidou navigation system (BDS) RTK positioning, the GPS/BDS positioning for MBRTK can enhance the positioning accuracy with improvement by approximately (45%, 35%, and 27%) and (12%, 6%, and 19%) in the North (N), East (E), and Up (U) components, as well as the availability with improvement by about 33% and 10%, respectively. Moreover, the MBRTK model with two and three reference receivers can significantly increase the redundancy and provide smaller ambiguity dilution of precision (ADOP) values. Compared with the scheme-one and scheme-two for SBRTK, the MBRTK with multiple reference receivers have a positioning accuracy improvement by about (9%, 0%, and 6%) and (9%, 16%, and 16%) in N, E, and U components, as well as the availability improvement by approximately 10%. Therefore, compared with the conventional SBRTK, the MBRTK can enhance the strength of the kinematic positioning model as well as improve the positioning accuracy and availability.

scholarly journals A Fixed Algorithm of Ambiguity among the Network RTK Reference Stations

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 165
Author(s):  
Shouhua Wang ◽  
Zhiqi You ◽  
Xiyan Sun
Keyword(s):  
Satellite Observation ◽  
Reference Station ◽  
Floating Point ◽  
Extended Kalman Filtering ◽  
Fixation Rate ◽  
Multiple Systems ◽  
Network Rtk ◽  
R Ratio ◽  
Point Solution ◽  
Ambiguity Decorrelation

In the face of a complex observation environment, the solution of the reference station of the ambiguity of network real-time kinematic (RTK) will be affected. The joint solution of multiple systems makes the ambiguity dimension increase steeply, which makes it difficult to estimate all the ambiguity. In addition, when receiving satellite observation signals in the environment with many occlusions, the received satellite observation values are prone to gross errors, resulting in obvious deviations in the solution. In this paper, a new network RTK fixation algorithm for partial ambiguity among the reference stations is proposed. It first estimates the floating-point ambiguity using the robust extended Kalman filtering (EKF) technique based on mean estimation, then finds the optimal ambiguity subset by the optimized partial ambiguity solving method. Finally, fixing the floating-point solution by the least-squares ambiguity decorrelation adjustment (LAMBDA) algorithm and the joint test of ratio (R-ratio) and bootstrapping success rate index solver. The experimental results indicate that the new method can significantly improve the fixation rate of ambiguity among network RTK reference stations and thus effectively improve the reliability of positioning results.

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.

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