基于指纹的无线室内精确定位方法研究.docx

基于指纹的无线室内精确定位方法研究
摘要：
随着智能物联网技术的发展，室内精确定位成为了研究的热点。本文基于指纹的无线室内精确定位方法进行了研究。首先介绍了现有的室内定位技术，针对其局限性提出了基于指纹的无线室内定位方法。接着详细讲解了指纹采集、指纹库构建、指纹匹配以及定位算法等环节。最后，通过实验验证该方法的准确性和鲁棒性，并探讨了其未来发展方向。
关键词：室内定位；指纹；无线通信；精确定位；算法
1.Introduction
Inrecentyears,withtherapiddevelopmentofintelligentInternetofThingstechnology,preciseindoorpositioninghasbecomeahotresearchtopic.Indoorpositioningiswidelyusedinvariousfields,suchaslogistics,production,andsecurity.However,duetothecomplexityofindoorenvironments,traditionalpositioningtechnologies,suchasGPS,areunabletoprovideaccuratepositioningresultsinindoorscenarios.Therefore,researchershavedevelopedvariousindoorpositioningmethods,suchasinfraredpositioning,ultrasoundpositioning,magneticpositioning,andWi-Fipositioning.
Amongthesemethods,Wi-FipositioninghasbecomeincreasinglypopularduetothewidecoverageofWi-Fisignalsandthelowcostofequipment.However,existingWi-Fipositioningmethodsfacemanychallenges,suchassignalinterference,multipathpropagation,andlowpositioningaccuracy.Therefore,inthispaper,weproposeaWi-Fiindoorpositioningmethodbasedonfingerprints.
2.RelatedWork
Indoorpositioningtechnologiescanbebroadlydividedintotwocategories:signalstrength-basedandfingerprint-based.Signalstrength-basedmethodsusereceivedsignalstrengthindicator(RSSI)valuestoestimatethelocationoftheterminal.However,signalstrength-basedmethodsareseriouslyaffectedbyenvironmentalnoiseandmultipathinterference,leadingtolowpositioningaccuracy.
Fingerprint-basedmethods,ontheotherhand,caneffectivelyovercomethelimitationsofsignalstrength-basedmethodsandprovidehigherpositioningaccuracy.Thefingerprint-basedmethodcollectssignalstrengthdataatselectedreferencepointsandconstructsadatabaseoffingerprints.Theterminal'slocationcanthenbeestimatedbycomparingthereceivedsignalstrengthwiththefingerprintdatabase.
3.Fingerprint-basedWi-FiIndoorPositioning
Inthispaper,weproposeafingerprint-basedWi-Fiindoorpositioningmethod.Theoverallprocesscanbedividedintofoursteps:fingerprintcollection,fingerprintdatabaseconstruction,fin