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Maximum Likelihood equalization is the optimal method to estimate the transmitted symbols in a MIMO system using linear space time coding (See reference [1] for the theoretical background). Note that the ML decoding can be computionnaly expensive for high order modulation.
The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- coherent_ML_receiver.m (perform ML equalization)
- one_shot_ML_equalizer.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot_ML_equalizer in the matlab command window. See the file space_time_coding.m to obtain the list of supported STBCs.
Reference:
[1] E.G. Larsson,P.Stoica. "Space-time block coding for wirelesscommunications", Cambridge Press,2003
Cite As
Choqueuse Vincent (2026). Maximum Likelihood equalization for STBC-MIMO systems (https://www.mathworks.com/matlabcentral/fileexchange/25815-maximum-likelihood-equalization-for-stbc-mimo-systems), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Blind channel estimation for STBC using higher order statistics
General Information
- Version 1.0.0.0 (6.78 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
