/MatRTKLIB

MATLAB wrapper for RTKLIB

Primary LanguageMATLABMIT LicenseMIT

MatRTKLIB

MatRKTLIB provides a MATLAB wrapper for RTKLIB, an open source GNSS data processing library, and also provides various processes required for actual GNSS analysis and research in its own MATLAB classes. Originally maintained for my own research, I have made it open source.

Features

  • Incorporates RTKLIB as a submodule and provides MATLAB wrappers for almost all RTKLIB functions

    • Calling functions of RTKLIB on MATLAB is rtklib.****
    • Support for vector inputs/outputs for almost all functions
    • Any updates to RTKLIB (new satellites, RINEX version support, etc.) can be reflected immediately
    • RTKLIB porting progress is here

  • Provides original GNSS classes (GT: GNSS Tools) using RTKLIB

    • To create a GNSS Tools object in MATLAB, use gt.****
    • Provides for reading, editing, visualization, analysis, and export of RINEX files and positioning solutions
    • See GT directory for more information on GT class types

  • Provides a very wide variety of specific examples commonly used in GNSS analysis. For example

    • Step-by-step implementation of stand-alone and RTK positioning (estimate_position_spp1_step_by_step.m, estimate_position_rtk_step_by_step.m)
    • Removal of specific satellite observations from RINEX files (edit_rinex_observation4.m)
    • Computing double-difference pseudoranges and carrier phase residuals (compute_double_difference.m)
    • Error analysis with a kinematic positioning reference (evaluate_position_error.m)
    • See examples for more details

Demo

Installation

If you do not want to compile MatRTKLIB yourself, you can download a pre-compiled package:

git clone https://github.com/taroz/MatRTKLIB.git

To install MatRTKLIB, simply add its folder path to your MATLAB path list in MATLAB command window:

addpath('/path/to/MatRTKLIB');

Compile

Pre-compiled mex files are created in the following environments.

  • MATLAB 2024a
  • OS: Windows 11, Compiler: Microsoft Visual Studio 2022
  • OS: Ubuntu 20.04, Compiler: GCC

For 32-bit systems, you will need to recompile it yourself. When compiling, clone including submodules.

git clone --recursive https://github.com/taroz/MatRTKLIB.git

Or, if you have already cloned

git submodule update --init --recursive

The compilation procedure is as follows.

  1. In MATLAB, enter mex -setup to see if compiler is configured
  2. Run compile.m

Note: If you are syncing directories via OneDrive or Dropbox, the compilation may fail. If this happens, please pause the synchronization.

Citation

Under review...