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The Research Of Blind Multiuser Detection Using Neural Network Based On Lagrange Penalty Function

Posted on:2007-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:F P LiFull Text:PDF
GTID:2178360185476570Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
In the CDMA wireless communications system , multi-access interference and near-far effect exist because spread codes between users are not completely orthogonal along with different users random accessing, regular filter can not overcome these questions. Multiuser detection is a key technique erasing MAI and NFE due to think fully about user structure making MAI and interference information. Nowadays, a lot of multiuser detection algorithms hold flaws such as sophisticated algorithm, low speed of convergence and so on, thus, MUD isn't really realized using. Recently, blind multiuser detection based on neural network became a research focus, integrates merits needing a few using informations of blind MUD with merits of neural network such as quickly speed, stronge processing, and so on.The major works of this paper are summarized as follow:1. The principle of MUD is introduced in this paper, and the...
Keywords/Search Tags:blind multi-user detection, neural network, penalty function, multiple access interference
PDF Full Text Request
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