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Package for digitial communications functions
pip install digcommpy==0.9
Python3 package for digital communications simulations.
It includes channel coding and different channel models. Simulations can be run to calculate bit/block error rates for different configurations.
The package can be installed using pip with the command pip install digcommpy.
Alternatively, you can clone the Gitlab repository and install the local copy using the following commands:
git clone https://gitlab.com/klb2/digcommpy.git
cd digcommpy
pip install .
There are multiple example files in the examples folder.
A simple encoding example using a polar code:
from digcommpy import messages, encoders
n, k = 16, 4
encoder = encoders.PolarEncoder(n, k, "BAWGN", 0.)
mess = messages.generate_data(k, number=1000, binary=True)
codewords = encoder.encode_messages(mess)
A full transmission chain can be simulated as follows:
from digcommpy import messages, encoders, decoders, channels, modulators, metrics
# Parameters
n, k = 16, 4
snr = 5. # dB
# Blocks
encoder = encoders.PolarEncoder(n, k, "BAWGN", snr)
modulator = modulator.BpskModulator()
channel = channels.BawgnChannel(snr, rate=k/n)
decoder = decoders.PolarDecoder(n, k, "BAWGN", snr)
# Simulation
mess = messages.generate_data(k, number=1000, binary=True)
codewords = encoder.encode_messages(mess)
channel_input = modulator.modulate_symbols(codewords)
channel_output = channel.transmit_data(channel_input)
est_mess = decoder.decode_messages(channel_output)
ber = metrics.ber(mess, est_mess)
print("The BER is {}".format(ber))
This can be simplified by using the simulations module from the
package (in progress).
Some parts of this library are based on different open source implementations. The polar code encoding and decoding code is based on the Matlab implementation from Harish Vangala et al. (http://polarcodes.com/). The implementation of some functions, e.g., the QAM-modulation are based on the Octave communications package (https://octave.sourceforge.io/).
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