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文件名称:kaam_ki_cheez

  • 所属分类：
  • matlab例程
  • 资源属性：
  • [JavaScript] [源码]
  • 上传时间：
  • 2012-11-26
  • 文件大小：
  • 448kb
  • 下载次数：
  • 0次
  • 提 供 者：
  • kamini******
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修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

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
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signal
space
time
block

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