Maximum Likelihood equalization for STBC-MIMO systems
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 .
MATLAB Release Compatibility
Platform Compatibility
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- Wireless Communications > Communications Toolbox > Link-Level Simulation >
- Wireless Communications > Communications Toolbox > PHY Components > Modulation > OFDM >
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Acknowledgements
Inspired: Blind channel estimation for STBC using higher order statistics
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| Version | Published | Release Notes | |
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