射频识别RFID系统的关键理论与技术研究

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1、北京工业大学博士学位论文射频识别（RFID）系统的关键理论与技术研究姓名：耿淑琴申请学位级别：博士专业：微电子学与固体电子学指导教师：吴武臣20090301北京工业大学T学博十学位论文improveddynamicframedslottedAlohaalgorithm)并完成了RFID软件系统设计。通过软件对通信系统的空闲态、工作态等状态的控制完成数据通信，有效地降低了系统功耗并成功地解决了系统多应答器(又称标签或卡)工作条件下的碰撞问题，从而有效地提高了信道的利用率，降低了系统功耗。该软件系统已经成功地应用在433

2、／868／915MHzRFID系统中并验证了IDFSA算法的有效性。本论文所得的研究结果对RFID系统设计具有重要的理论意义和应用意义。关键词：射频识别系统：天线；识别距离；低功耗IlABSTRACTRadioFrequencyIdentification(RFID)，usingtheradio—frequencysignaltoautomaticallyidentifyallobjectandcollectinformation，iSconsideredasoneoftheleadingedgeinformatio

3、ntechnologiesin21century．Combining谢t11networkingandelectroniccommerce，RFIDhasexpeditedanewnetworl【_‘'thethingnetworking”．Therefore，RFIDiSaprofoundrevolutionofinformationrecognitionandtransmission．RFIDhasthewidespreadapplicationprospectinmanufacturing，transporta

4、tion,securityforgery—proof,foodtrackandbackward，residentidentificationcard，managementandSOon．Atpresent，US，JapanandEuropeastheheaddevelopedcountryhaveachievedthequitehighleveltoI强IDtechnologyinappliedfield，butOurcountryisatthestartstage．Therefore，itisofimportant

5、theorysignificanceandtheapplicationvaluetoresearchRFID．111emainresultsobtainedinthispaperareasfollows．1．DesignandresearchofpassiveinductivecouplingI强IDantenna111epassiveinductivecouplingRFIDantennaisinvestigatedintheviewpointoftheelectromagnetismfieldtheory．Bas

6、edonadeepstudyofmagneticinductionintensityB，antennacouplingfactork，ampere-turnsNIandtheantennaradiusr'amathematicalmodelofpassiveinductivecouplingl强IDantennaispresented．Theoptimizationmethodofmaximumcouplingfactorandminimalampere．turnsvalueisproposed，whichhelps

7、tocalculatetheminimalpowerlossandthemaximumdistanceofantenna．Basedontheresultsabove，thechoiceandthecomputationofantennaparametersareaccomplished．Finally,anoptimizeddesignofpassiveinductivecouplingantennafor125KHzRFIDsystemhasbeenrealized．Thejointtestingwithsoft

8、wareandhardwareofRFIDPCBiscarriedout．Thetestingresultsverifythevalidityofthis125KHzRFIDsystem’Santennadesignmethod．2．Designandresearchoflowpowerloss，long—distanceRFIDhardwar