RobustGNSS

This repository contains a modified version of GTSAM, which has been updated for GNSS signal processing. To enable RINEX file reading and GNSS observation modeling, the GPSTk library is utilized. A detailed description of the modification can be found in "Robust Navigation In GNSS Degraded Environment Using Graph Optimization". This software has been cleared for public release by the USAF Case # 88ABW-2017-3893

How to Install

1) Requirements/Recommendations

Required

• Boost --> sudo apt-get install libboost-all-dev
• CMake --> sudo apt-get install cmake

Recommended

• Intel TBB --> sudo apt-get install libtbb-dev
• Intel MKL

2) Clone repository to local machine

• RobustGNSS --> git clone https://github.com/wvu-navLab/RobustGNSS.git

3) Build

cd RobustGNSS/gtsam; 
mkdir build;  
cd build;
cmake ..
make

4) Test

Contained within the RobustGNSS/gtsam/gnssExamples directory are several examples. As an initial test, let's run the non-robust optimization script. First, move into the GTSAM build directory.

cd RobustGNSS/gtsam/build 

Next, the RINEX file saved in the RobustGNSS/gtsam/gnssData directory must be converted to a format readable by GTSAM. ( It should be noted that GTSAM only looks for data files in the RobustGNSS/gtsam/gnssData directory, so all new data files must be stored there. )

./gnssExamples/rnx2Gtsam --obs dec12.16o --sp3 dec12.sp3 > ../gnssData/dec12.gtsam 

Now, we can run the optimization script over the newly generated data file.

./gnssExamples/l2Example -i dec12.gtsam --dir test1 --writeENU  

Finally, we can look at the ground trace of the solution,

cd test1;
gnuplot 
plot 'enu.sol' using 2:3 with points

For a complete list of available options, run the command provided below.

./gnssExamples/l2Example -h