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https://github.com/gnss-sdr/gnss-sdr
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43 lines
2.1 KiB
Markdown
43 lines
2.1 KiB
Markdown
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Continuous Reproducibility in GNSS Signal Processing
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----------------------------------------------------
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This folder contains files required for the reproduction of the experiment proposed in:
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C. Fernández-Prades, J. Vilà-Valls, J. Arribas and A. Ramos, *Continuous Reproducibility in GNSS Signal Processing*, submitted to IEEE Access, Feb. 2018.
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The dataset used in this paper is available at
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The sample format is `ibyte`: Interleaved (I&Q) stream of samples of type signed integer, 8-bit two’s complement number ranging from -128 to 127.
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The figure appearing in that paper can be automatically generated with the pipeline available at https://gitlab.com/gnss-sdr/gnss-sdr/pipelines
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After the **Build** stage, which compiles the source code in several versions of the most popular GNU/Linux distributions, and the **Test** stage, which executes GNSS-SDR’s QA code, the **Deploy** stage creates and publishes an image of a software container ready to execute the experiment. This container is available by doing:
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```
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$ docker pull carlesfernandez/docker-gnsssdr:access18
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```
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Then, in the **Experiment** stage, a job installs the image created in the previous step, grabs the data file, executes the experiment and produces a figure with the obtained results.
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The steps to reproduce the experiment in your own machine (with [Docker](https://www.docker.com) already installed and running) are:
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```
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$ docker pull carlesfernandez/docker-gnsssdr:access18
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$ git clone https://github.com/gnss-sdr/gnss-sdr
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$ cd gnss-sdr
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$ git checkout next
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$ mkdir -p exp-access18/data
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$ cd ex-access18/data
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$ curl https://zenodo.org/record/1184601/files/L2_signal_samples.tar.xz --output L2_signal_samples.tar.xz
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$ tar xvfJ L2_signal_samples.tar.xz
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$ echo "3a04c1eeb970776bb77f5e3b7eaff2df L2_signal_samples.tar.xz" > data.md5
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$ md5sum -c data.md5
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$ cd ..
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$ cp ../src/utils/reproducibility/ieee-access18/L2-access18.conf .
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$ cp ../src/utils/reproducibility/ieee-access18/plot_dump.m .
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$ cp -r ../src/utils/matlab/libs/geoFunctions .
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$ octave --no-gui plot_dump.m
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$ epspdf Figure2.eps Figure2.pdf
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```
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