A Network RTK Regional Atmospheric Error Modeling Method Based on Multiple Reference Stations

A technology of atmospheric error and modeling method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of not making full use of redundant observation information of multiple reference stations, decreasing correction accuracy, and affecting the accuracy of correction numbers, etc. Achieve the effects of flexible and diverse interpolation models, improved accuracy and reliability, and high accuracy and reliability

Active Publication Date: 2017-09-26
SOUTHEAST UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this triangular network structure also has some deficiencies, mainly in: (1) It adopts a single baseline calculation mode, which does not make full use of the redundant observation information of multiple reference stations, which is not conducive to the initialization of large-scale reference station networks; ( 2) The independent baseline information is less (2 baselines), which limits the accuracy of the optional mathematical models (model parameters <= 2) for interpolation calculations, thus affecting the accuracy of the correction numbers to a certain extent, especially (3) For areas other than the basic calculation unit, the correction accuracy drops sharply with the increase of distance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Network RTK Regional Atmospheric Error Modeling Method Based on Multiple Reference Stations
  • A Network RTK Regional Atmospheric Error Modeling Method Based on Multiple Reference Stations
  • A Network RTK Regional Atmospheric Error Modeling Method Based on Multiple Reference Stations

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further explained below in conjunction with the accompanying drawings.

[0032] Such as figure 1 As shown, a network RTK regional atmospheric error modeling method based on multiple reference stations includes the following specific steps:

[0033] Step 1), establish the basic calculation unit based on the multi-reference station structure, including the following specific steps:

[0034] a) Build an irregular triangular network for all reference stations of the entire CORS according to the principle of Delaunay triangular network construction;

[0035] b) Select the reference station closest to rover u from the CORS reference stations as the central reference station c, select the Delaunay triangular network covering rover u, and connect the other two reference stations of this Delaunay triangular network and the The other reference stations of the Delaunay triangular network on any side of the network are used as auxiliary reference sta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a network RTK regional atmospheric error modeling method based on multiple reference stations. Firstly, a basic calculation unit based on the multi-reference station structure is established by using the redundant observation information of multiple reference stations, and then the algorithm of the regional tropospheric correction number in the network RTK is carried out for the basic calculation unit of the multi-reference station structure. In this study, a network RTK regional tropospheric error modeling method that takes into account the influence of elevation differences and is applicable to multi-reference station structures is proposed, and then the tropospheric error correction value of the rover is obtained. The method of the invention can significantly improve the accuracy and reliability of the regional tropospheric error correction number in the network RTK on the basis of considering the elevation difference, especially for low-altitude satellites, the accuracy and reliability are higher.

Description

technical field [0001] The invention belongs to the field of network RTK positioning, and relates to the calculation of network tropospheric error correction numbers between stations in a continuous operation reference station (CORS) system, in particular to a network RTK regional atmospheric error modeling based on a multi-reference station structure in a GNSS network differential positioning system method. Background technique [0002] With the development of global satellite navigation and positioning systems, GNSS network differential positioning technology is currently a popular technology in the field of satellite positioning. The earth reference coordinate and geodynamic service system composed of global satellite navigation system, computer network and communication technology is the result of the integration of network and GNSS positioning technology and modern geodetic survey and geodynamics. It is a combination of conventional RTK and differential global positioni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 潘树国吴波高旺高成发
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products