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Research on Interference Suppressing Blind Identification of Wireless Mobile Channels

Author: MengYunFei
Tutor: CaoShiKe
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Blind Identification Wireless mobile channel Cyclostationary Subspace Second-order statistics
CLC: TN929.5
Type: Master's thesis
Year: 2011
Downloads: 14
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Abstract


The blind identification means using only the system output signal and some auxiliary information to estimate the channel 's signal processing technology . Based on the pursuit of high - capacity, high - reliability transmission in a mobile communication does not require a training sequence blind identification technology is very attractive . As the second-order cyclic statistics contain not only the magnitude of the channel , and contains the phase characteristics . The introduction of blind identification the Cyclostationary can achieve the identification of non - minimum phase systems . The work of this dissertation is to expand based on cyclostationary theory . This paper first introduces the basic concepts of wireless mobile channel and two equivalent SIMO (Single Input Multiple Output) channel model , channel model based on these two given the general conditions of the channel identification , and based on the mutual relations of the CR the algorithm for the simulation, the channel identifiability . Second , it describes a the SIMO system 's subspace algorithm . This algorithm is introduced at the output through the single- output over- sampling or multi- output sampling the cyclostationary using only output SOS (Second Order Statistics) to identify the system transfer function , which provides for the SOS - based blind identification the theoretical foundation . Traditional subspace methods estimated covariance matrix rank estimation requires accurate channel length , and requires a lot of computation decomposition SVD (Singular Value Decomposition) . To overcome these two shortcomings offset subspace algorithm based on the the ULV updated and over- estimated , and gives the corresponding batch algorithm and adaptive algorithm . Finally, at the input end by modulating the introduction of a special kind of cyclostationary joint modulation and output induced cyclostationarity subspace algorithm , which can not only solve the blind identification of the SISO (Single Input Single Output) system , but also the sub the space has been greatly improved the ability of anti - noise and interference .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications
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