(Thechannelestimationalgorithmisbasedonasubspaceapproach.ThemethodworksonlyforidentifiableSTBCs(excluding>=1-rateSTBCs).Seepublication[1]formoredetailaboutthealgorithmandtheidentifiabilityconditions.Thezipfilecontainsthreemfiles.-space_time_coding.m(performspacetimecoding)-subspace_channel_estimation_STBC.m(channelestimation)-one_shot.m(showanexample)Tousethesefiles,extractthethreefilesinthesamefolder.Then,callthescriptone_shotinthematlabcommandwindow.Reference:[1]Ammar,N.Ding,Z."BlindChannelIdentifiabilityforGenericLinearSpace-TimeBlockCodes"IEEETransactionsonSignalProcessingVolume55,Issue1,Jan.2007Page(s):202-217) - IMDN开发者社群-imdn.cn">
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kaam_ki_cheez

于 2009-12-05 发布 文件大小:448KB
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  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 script 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 script 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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