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Research On Blind Identification Technology Of Wireless Fading Channel

Posted on:2014-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y D YangFull Text:PDF
GTID:2248330395483830Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
The defect of the traditional channel identification method has long been noticed, so people startto look for blind method which does not need training sequence. There are a lot of research resultsabout blind method. Some use multi-antenna, some use oversampling to form a SIMO structure.Some also use pre-coding and modulation-induced cyclostationarity approach where the inducedspectral redundancy is used for blind channel identification.Blind identification is proposed based on a further study in the field of signal processingparameter estimation. One significant advantage of appling blind identification method incommunication system is that the transmitter does not require training sequence. This can improveoverall system throughput.The paper jointly uses modulation-induced cyclostationarity and oversampling-inducedcyclostationarity to blindly identify SISO channel. When the channel has enough redundantbandwidth,if doing oversampling in the receiver, there will be more redundant spectrum which canbe used for blind channel identification. The bigger the multiple of oversampling is, the moreredundant spectrum there will be.The paper deduces the general expressions of the modulation-induced cyclic statistics and theoversampling-induced cyclic statistics under the condition of oversampling. The paper also makessimulation research and analysis. With suppressing interferences and repairing damage usingspectral redundancy, the algorithm can perform normally in noisy environment. Our study is usefulin both military anti-jam application and cellular communication. So the article then supposes thatthe present study will be applied to the uplink of LTE system.
Keywords/Search Tags:channel blind identification, channel estimation, cyclostationarity, modulation-induced cyclostationarity, oversampling
PDF Full Text Request
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