Generating a VRS Using Atmospheric Models: Concept, Implementation and Results
Abstract
Nowadays, with the implantation of GNSS (Global Navigation Satellite System)
reference station networks, several positioning techniques have been developed
and/or improved. Using such kind of network data it is possible to model the GNSS
distance dependent errors and to compute correction terms for the network region.
Several methods have been developed to formulate the corrections terms from
network stations data. A method that has been received a great attention is the
Virtual Reference Station (VRS). The idea is that the VRS data resemble as much as
possible a real receiver data placed in the same local. Therefore, the user has the
possibility of using the VRS as if it were a real reference station in your proximities,
and to accomplish the relative positioning with a single frequency receiver. In this
paper it is described a different methodology applied to implement the VRS
concept, using atmospheric models developed by Brazilian researchers. Besides,
experiments for evaluating the quality of generated VRS are presented, showing the
efficiency of the proposed method.
reference station networks, several positioning techniques have been developed
and/or improved. Using such kind of network data it is possible to model the GNSS
distance dependent errors and to compute correction terms for the network region.
Several methods have been developed to formulate the corrections terms from
network stations data. A method that has been received a great attention is the
Virtual Reference Station (VRS). The idea is that the VRS data resemble as much as
possible a real receiver data placed in the same local. Therefore, the user has the
possibility of using the VRS as if it were a real reference station in your proximities,
and to accomplish the relative positioning with a single frequency receiver. In this
paper it is described a different methodology applied to implement the VRS
concept, using atmospheric models developed by Brazilian researchers. Besides,
experiments for evaluating the quality of generated VRS are presented, showing the
efficiency of the proposed method.
Keywords
RTK em Rede; VRS; Modelos Atmosféricos; Network RTK; Atmospheric Models