Blind recognition of space time codes

These scripts implement several algorithms for the blind recognition of space time block codes.

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Updated 16 Feb 2010

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The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background.

Example: To create the fig 3,4 and 5 of the paper, call the routine:
Blind_recognition_STBC2_simulation_results(512,4,'PSK',4)

Reference:

[1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

Cite As

Choqueuse Vincent (2023). Blind recognition of space time codes (https://www.mathworks.com/matlabcentral/fileexchange/26712-blind-recognition-of-space-time-codes), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0