Blind channel estimation for STBC using higher order statistics
This algorithms implements a blind channel estimation algorithm for Space-Time Block Coded communications. The algorithm exploits the statistical independence of sources before space-time encoding. The channel matrix is estimated by minimizing a kurtosis-based cost function after space time equalization. The proposed
can be employed for the general class of linear STBCs including Spatial Multiplexing, Orthogonal, quasi Orthogonal and Non- Orthogonal STBCs.
To see an example, just run the following command:
one_shot(512,'Alamouti','1',1,5,'PSK',4,50)
Citation pour cette source
Choqueuse Vincent (2026). Blind channel estimation for STBC using higher order statistics (https://fr.mathworks.com/matlabcentral/fileexchange/30433-blind-channel-estimation-for-stbc-using-higher-order-statistics), MATLAB Central File Exchange. Extrait(e) le .
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Inspiré par : Space time block codes for MISO-MIMO systems, Zero forcing equalization for STBC-MIMO systems, Maximum Likelihood equalization for STBC-MIMO systems
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.0.0.0 |