Abstract
Abstract. NRTK1 is an efficient method to achieve precise real time positioning from GNSS measurements. In this paper we attempt to improve NRTK algorithm by introducing a new strategy. In this strategy a precise relocation of master station observations is performed using Sagnac effect. After processing the double differences, the tropospheric and ionospheric errors of each baseline can be estimated separately. The next step is interpolation of these errors for the atmospheric errors mitigation of desired baseline. Linear and kriging interpolation methods are implemented in this study. In the new strategy the RINEX2 data of the master station is re-located and is converted to the desired virtual observations. Then the interpolated corrections are applied to the virtual observations. The results are compared by the classical method of VRS generation. 1 Network Real Time Kinematic 2 Receiver Independent Exchange Format
Highlights
Network Real Time Kinematic (NRTK) methods have been developed to overcome the problems of the traditional RTK3 positioning
In the first strategy the interpolated corrections are applied with negative sign to the single difference observations of master reference station
The RINEX data of the master station is precisely re-located to the desired virtual station
Summary
Network Real Time Kinematic (NRTK) methods have been developed to overcome the problems of the traditional RTK3 positioning. NTRK, is the best practical method between various multireference stations approaches. Details of these techniques can be found in Fotopoulos & Cannon (2001). To achieve precise positioning in NRTK techniques, the impact of orbital and atmospheric errors in double differenced observations must be corrected. To process long static baselines, the ionospheric free linear combination of phase observations is required because the ionospheric effect is the most important source of errors for long baselines. Wide lane integer ambiguity will be estimated (fixed), and it is introduced to the L3 observations. Instead of using L3 observations, two NRTK strategies have been introduced which have been described later. The raw data of the existing NGS5 permanent GPS6 network stations were used to perform the numerical tests
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