The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.



- space_time_coding.m (perform space time coding)

- subspace_channel_estimation_STBC.m (channel estimation)

- one_shot.m (show an example)



To use these files, extract the three files in the same folder. Then, call the scr ipt one_shot in the matlab command window.



Reference:



[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217-The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.



- space_time_coding.m (perform space time coding)

- subspace_channel_estimation_STBC.m (channel estimation)

- one_shot.m (show an example)



To use these files, extract the three files in the same folder. Then, call the scr ipt one_shot in the matlab command window.



Reference:



[1] Ammar, N.　Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217