r4tn3sh / MIMO_detection

A study of MIMO wireless communication.

MIMO Wireless Communication

Description

The goal of this project is to create a simulation of a basic baseband communication with MIMO using Python. The following sub-goals are expected to be achieved.

• Bits to sample mapping based on the modulation scheme. Currently supporting BPSK, QPSK, 16QAM, 64QAM, 256QAM, and 1024QAM.
• Modeling various channel matrices, H.
• Implementation of AWGN channel.
• Channel estimation algorithms.
• Sample detection algorithms.
• Useful plotting capability
  • Time and frequency domain representation
  • Constellation

Currently implemented

• Channels:
  • AWGN
  • Random fading channel based on condition number
• Equalizer: Zero-Forcing, MMSE
• Measurement of Symbol error rate and EVM
• Basic Sphere decoding with Babai radius estimate
• Diversity ratio combining
  • Equal gain combining
  • Selection combining
  • Maximal ratio combining

TODO

• Improve the efficiency of the sphereDecoder. Check if the Babai estimate needs to be calculated for all samples.

Required Python libraries:

• Numpy
• Matplotlib
• Argparse
• Enum