RFID室内区域细化目标定位算法优化仿真-豆柴文库

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RFID室内区域细化目标定位算法优化仿真
Title:OptimizationofRFID-basedIndoorAreaLocalizationAlgorithmforFine-grainedTargetPositioning:ASimulationStudy
Abstract:
RFID(RadioFrequencyIdentification)technologyhasgainedincreasingpopularityinindoorlocalizationsystemsduetoitslowcost,easeofdeployment,andabilitytotrackmultipletargetssimultaneously.However,existingRFID-basedlocalizationalgorithmsoftenfacechallengesinachievingfine-grainedtargetpositioningaccuracy.Inthispaper,weproposeanoptimizationoftheRFID-basedindoorarealocalizationalgorithmforfine-grainedtargetpositioning.Throughadetailedsimulationstudy,weevaluatetheperformanceoftheproposedalgorithmandcompareitwithexistingalgorithms.Theresultsdemonstratesignificantimprovementsintargetpositioningaccuracy,providingapromisingsolutionforindoorlocalizationapplications.
1.Introduction
Withtheincreasingdemandfortheautomationanddigitizationofindoorenvironments,indoorlocalizationhasbecomeanessentialrequirementforvariousapplications,includingassettracking,inventorymanagement,andindoornavigation.RFIDtechnologyhasemergedasapromisingsolutionforindoorarealocalizationduetoitscost-effectivenessandscalability.However,achievingfine-grainedtargetpositioningaccuracyremainsasignificantchallengeinRFID-basedindoorlocalizationsystems.
2.RelatedWork
Inthissection,weprovideanoverviewofexistingRFID-basedlocalizationalgorithmsanddiscusstheirlimitationsinachievingfine-grainedtargetpositioningaccuracy.Wereviewalgorithmsbasedonreceivedsignalstrength(RSS),timedifferenceofarrival(TDOA),andangleofarrival(AOA)techniques.
3.ProposedAlgorithm
Inthissection,wepresentouroptimizationoftheRFID-basedindoorarealocalizationalgorithmforfine-grainedtargetpositioning.Wediscussthekeycomponentsofthealgorithm,includingtag-readercommunication,tagidentification,andtargetpositioningcalculation.Weincorporateadvancedsignalprocessingtechniquesandproposeinnovativealgorithmstoovercomethelimitationsofexistingapproaches.
4.SimulationDesign
Toevaluatetheperformanceoftheproposedalgorithm,weconductacompr