Blind channel estimation for STBC using higher order statistics
Updated 16 Feb 2011
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:
Choqueuse Vincent (2023). Blind channel estimation for STBC using higher order statistics (https://www.mathworks.com/matlabcentral/fileexchange/30433-blind-channel-estimation-for-stbc-using-higher-order-statistics), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired by: 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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