DSCDMA系统中基于蚁群算法的多用户检测技术的研究

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1、西南交通大学硕士学位论文DS-CDMA系统中基于蚁群算法的多用户检测技术的研究姓名：靳紫辉申请学位级别：硕士专业：信号与信息处理指导教师：张翠芳20080602西南交通大学硕士研究生学位论文第lI页AbstractCodeDivisionMultipleAccess(CDMA)hasmoreadvantagesthanotheraccesstechnologies，SOithasalreadybecamethecoretechnologyofthethirdgenerationwirelesscomm

2、unicationsystems，butthesesystemsareallinterference-limited，thesystemperformanceandcapacityislimitedbytheMufti—AccessInterference(MAD．Mufti—userDetector(MUD)isthekeyinterferencecancellationtechnologyofthewidebandCDMAcommunicationsystem，theoptimalMUDcallo

3、vercometheMAItheoretically，butitcannotbecarriedoutinrealtimeonthecurrenttechnologyconditionduetoitshighcomplexity．Inrecentyears，inthefieldofintelligentcomputation,thereareseveraltypesofSwarmIntelligencealgorithmsthathaveemerged,suchasAntColonyOptimizati

4、onAlgorithms(AC0)，ParticleSwarmOptimization(PS0)，ShoalOptimizationandSOon．ThereareseveraldistinctivefeaturesintheSwarmIntelligencealgodthrnsthataredifferentfromconventionaloptimizationapproaches，andtheyhavealreadybeenusedtosolvemanyclassicalNPproblems．T

5、histhesisisdedicatedtotheapplicationofimprovedantcolonyoptimization(ACO)tosolvetheissueofMUD．Firstly，AnalysisoftheMUDprobleminCDMAcommunicationsystems，comingoutfromthetheoryofcomputationalcomplexity．Secondly，introducethetheoryofACOandapplicationinsolvin

6、gNPproblemindetail．Lastly，applyimprovedACOtoMUDproblemconsideringitsfactualcharacteristic，Moreover，haveprovedtheimprovedAC0’Svaliditybyemulation．ThemaincontributionofthisthesisCallbesummarizedasfollows：(1)OnthebasisofthemodelofMUDbasedonACOindocument[6】

7、，improvedtheACOalgorithminordertorealizelowbiterrorrate(BER)、pickuprateofconvergencewhenhavingsamecomplexity．(2)InordertosolvethedisadvantageofdeficientinitialpheromoneandslowrateofconvergenceofACO，wecombineAC0withHopfieldneuralnetworkwhichowningfastcon

8、vergenceabilitytogether．LetHopfieldneuralnetworksupplygoodinitialpheromoneforACO，SOthatimprovesbothcomplexityandBER．西南交通大学硕士研究生学位论文第1lI页Keyword：CodeDivisionMultipleAccessCommunicationSystem(CDMA)；Multi—userDetector(MUD)；AntColony