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Digital communication simulation in Python.

• Modulation Schemes: BPSK, QPSK, 4-QAM, 16-QAM, 256-QAM

  • Transmission and reception over a noisy (AWGN) channel with signal-to-noise ratio from 0 to 9dB.
  • Parity test at the receiver: if the received data is different from parity setting at the transmitter do an automatic-repeat-request and retransmit the word.
  • Determine bit error rate.
  • Plot I-Q constellation diagram.

• Forward Error Correction: BCH code, Convolutional Code

  • Simulation over a noisy channel using QPSK.

  • Determine bit error rate.

  • Coding and decoding using (n,k) BCH codes.

    m	n	k	t
    3	7	4	1
    4	15	5	3
    5	31	6	7
    6	63	16	11

  • Coding and decoding using convolutional code using soft(or)hard decoding.

• Differential Coding

• Costas Loop

  • BPSK modulation/demodulation.
  • Carrier Recovery using Costas Loop.
  • Implement differential coding to deal with any ambiguity in the recovered data.

pip install komm
Anaconda enviroment recommended

git clone https://github.com/pdadial/pyComm.git

• Modulation Schemes

  • Run sim_mod.py specifing one of the modulation schemes: BPSK, QPSK, 4-QAM, 16-QAM, 256-QAM
python sim_mod.py --scheme QPSK

• Forward Error Correction

  • Run bch_codes.py specifing-m and-t values for corresponding (n,k) BCH code.
    python bch_codes.py -m 3 -t 1
  • Run conv_codes.py specifing decoding decision method (soft/hard).
    python conv_codes.py -d soft

This project was part of the course Digital Communication, taught bydchutchings of University of Glasgow