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The Research Of Multi-user Detection Based On Chaotic Neural Network

Posted on:2007-08-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y L PanFull Text:PDF
GTID:2178360185474275Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
The CDMA multiuser detection is one of the key technique of the third communication system.In CDMA communication system ,there always have some relativity in the sequence assigned to the users,which is the root of multiple access interference. Multiuser detection make the most of all user signal information working multiple access interference on the base of tradition detection technique.So it has good anti-jamming capability, can solve far and near effect problem,reduce demand for power control precision,notability advance capability of whole system.The optimum multiuser detection can obtain the best bit error rate theoretice.but its computing complexity increases with the number of users exponentially and belongs to NP maturity problem.So much research fasten on the multiuser detection with low computing complexity . CDMA multiuser detection is in fact a combination optimize problem. Neural network possesses non-linearity characteristic,abundant parallel disposing ability and study inducing ability ,which make it get abroad application in multiuser detection .So the emphases of this letterpress is the multiuser detection based on Chaos neural network.This text researches the elements of multiuser detection using neural network.researches the chaos optimize and the multiuser detection using chaos neural network.This text expatiates the model of CDMA communication system and multiuser detection ,introduce the elements and performance of the optimal multiuser detection.This text lucubrates the structure and elements of chaos neural network. It analyzes the structure and dynamics of chaos neural network and transient chaos neural network of Chen and Aihara detailedly.This text discusses the applying of Hopfield neural net work and the transient chaos neural network in multiuser detection.The transient chaos neural network has more abundant dynamics characteristic than the Hopfield neural network. It can advance the network's searching ability of global minimume efficiencily. This paper incorporate augmented Lagrange multipliers into transient chaos neural network.The mended transient chaos neural network...
Keywords/Search Tags:chaos, neural network, Lagrange multipler, multiuser detection, combination optimize
PDF Full Text Request
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