LoRa synchronization test source code

TODO: paper reference

Description

run_test.py tool generates a .csv file containing results of the proposed synchronization algorithm and the exhaustive algorithm on randomly generated LoRa frames.

Program arguments:

    --sf' : chossen spreading factor, default 7
    --snr : signal noise ratio, default 0
    --count': number of frame tested, default 1000
    --output-file: output file name, default='results.csv'

Run:

    $ python3 run_test.py --sf 7 --snr 0 --count 1000 --output-file results.csv

The output csv contains the following columns:

• Date : date of the test
• SF : spreading factor
• SNR : signal noise ratio
• Delay : random signal delay
• Offset : random signal frequency offset
• ExDelay : exhaustive synchronization estimated delay
• ExOffset : exhaustive synchronization estimated offset
• SynDelay : proposed synchronization estimated delay
• SynOffset : proposed synchronization estimated offset

Install prerequisite

Manual package installation

python: version 3.5 or newer required package : numpy

Using pipenv

• Install python 3.7

• Install pipenv with pip: $ pip3 install --user pipenv

• Install dependencies:

    $ pipenv --python 3.7
    $ pipenv shell
    $ pipenv install