Author : Xiaogongwei
QQ Group: 258113285
E-mail: <[email protected]>
My Github: https://github.com/XiaoGongWei
My Blog: https://blog.csdn.net/xiaoxiao133
Version : 1.0
Date : 26 Apr 2019
Download link (The GPS Toolbox): https://www.ngs.noaa.gov/gps-toolbox/
Old version (contains resources you may need): https://github.com/XiaoGongWei/PPP
If you would like to join this repository, please contact us after registering with Github.
Please use git clone or git pull to keep MG-APP up to date.
Aiming at the current multi-system combined multi-frequency observation data,
the MG-APPS precise single-point positioning software is developed.
Using C++ language based on cross-platform Qt framework, it has high cohesion
and low coupling characteristics. It provides a rich and friendly function
library which is easy to transplant for secondary development. It can run in
UNIX/Linux, Windows and other operating systems. MG-APPS can process GPS,
GLONASS, BDS and Galileo system data by using the combination of deionospheric
PPP mode. MG-APPS can deal with static data and real dynamic observation data.
A variety of commonly used tropospheric estimation models can be selected:
UNB3m, Saastamoinen (GPT2), Hopfield (GPT2), to study the effects of different
tropospheric models on PPP location (Hopfield 1971; Saastamoinen 1972; Leandro
et al. 2007; Lagler et al. 2013). Various filtering methods can be selected to
process data: Kalman filtering, Square Root Information Filter (SRIF), and the
effect of different filtering methods is studied. It can be used to fuse
multi-system data to study the precision effect of multi-system combination and
single-system model. Phase smoothing pseudorange is used in MG-APPS software,
which can improve the accuracy of pseudorange positioning. PPP mode based on
precision products can be selected, and single Point Positioning (SPP) mode of
broadcast ephemeris can also be selected. Automatic discrimination of
observation data (Rinex 3.x and Rinex 2.x) and navigation ephemeris type (N file,
P file). Users do not need to care about the underlying data format. If the
observation data lacks the necessary products for positioning, the software can
automatically download the products for solution and also automatically batch
processing observation data. In data processing, only the observation information
of two adjacent epochs is needed. According to the filtering algorithm, real-time
data processing mode is adopted. Forward filtering can be used to study the
convergence process of PPP, and reverse filtering can be used to provide precise
coordinates and high resolution tropospheric products.
Have fun,
Xiaogongwei
We also developed RTMG-PPP based on MG-APP. Below is the main window and the result of processing 10 hours of GNSS observations.
Appendix A:
MG-APP are distributed under the terms of the version 3 of the GNU General
Public License (GPLv3). See the file COPYING.
Copyright (C) 2016-2019 XiaoGongWei
Special licenses for commercial and other applications which
are not willing to accept the GNU General Public License
are available by contacting the author.