Signal Chain is a radar data processing library wich includes modules to read, and write different files formats, besides modules to process and visualize the data.

• GCC (gcc or gfortran)
• Python.h (python-dev or python-devel)
• Python-TK (python-tk)
• HDF5 libraries (libhdf5-dev)

To get started the easiest way to install it is through PyPI with pip. We strongly recommend to use an virtual environment like virtualenv or anaconda.

pip install schainpy

First, ensure that you have the above-listed dependencies installed, then clone the repository and install as normal python package:

git clone https://github.com/JRO-Peru/schainpy.git
cd schain
git checkout `branch-name` (optional)
sudo pip install ./

Download Dockerfile from the repository, and create a docker image:

docker build -t schain .

You can run a container using an xml file or a schain script also you need to mount a volume for the data input and for the output files/plots:

docker run -it --rm --volume /path/to/host/data:/data schain xml /data/test.xml
docker run -it --rm --volume /path/to/host/data:/data --entrypoint /urs/local/bin/python schain /data/test.py

Signal Chain provides the following commands:

• schainGUI: Open the GUI
• schain: Signal chain command line

Here you can find an script to read Spectra data (.pdata), remove dc and plot self-spectra & RTI:

#!/usr/bin/python

from schainpy.controller import Project

prj = Project()

read_unit = prj.addReadUnit(
    datatype='Spectra',
    path='/path/to/pdata/',
    startDate='2014/01/31',
    endDate='2014/03/31',
    startTime='00:00:00',
    endTime='23:59:59',
    online=0,
    walk=0
    )

proc_unit = prj.addProcUnit(
    datatype='Spectra',
    inputId=read_unit.getId()
    )

op = proc_unit.addOperation(name='selectChannels')
op.addParameter(name='channelList', value='0,1')

op = proc_unit.addOperation(name='selectHeights')
op.addParameter(name='minHei', value='80')
op.addParameter(name='maxHei', value='200')

op = proc_unit.addOperation(name='removeDC')

op = proc_unit.addOperation(name='SpectraPlot')
op.addParameter(name='wintitle', value='Spectra', format='str')

op = proc_unit.addOperation(name='RTIPlot')
op.addParameter(name='wintitle', value='RTI', format='str')

prj.start()