室内定位现状与发展趋势研究(英文)-豆柴文库

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室内定位现状与发展趋势研究(英文)
Indoorpositioningisatechnologythathasgainedalotofattentioninrecentyears.WiththegrowthoftheInternetofThings(IoT)andthepopularityofmobiledevices,therehasbeenanincreasingdemandforaccurateindoorpositioningsystems.Thispaperaimstoexplorethecurrentstatusandtrendsinindoorpositioning.
Indoorpositioningsystems(IPS)areusedtodeterminethelocationofanobjectorpersonwithinaclosedenvironment.Thereareseveralstrategiesproposedforindoorpositioning,suchasradiofrequencyidentification(RFID),Wi-Fipositioning,infrared-basedpositioning,magneticpositioning,ultrasoundpositioning,andvisual-basedpositioning.
RFID-basedpositioningsystemsuseradiowavestocommunicatebetweenthereaderandthetagtolocateanobject.Wi-FipositioningusesthesignalstrengthofWi-Fiaccesspointstodeterminethelocationofthedevice.Infrared-basedpositioningsystemsuseinfraredsensorstodetectobjectsandtheirmovements.Magneticpositioningsystemsutilizemagneticfieldstodeterminethepositionofobjects.Ultrasonicpositioningsystemsuseultrasoundwavestolocateobjects.Visual-basedpositioningsystemsusecamerastocaptureimagesofobjectsinaroom.
Eachofthesetechnologieshasitsadvantagesandlimitations.Forexample,RFIDsystemsarereliableanddonotrequireline-of-sight,buttheyareexpensivetoimplementandlackaccuracy.Wi-Fipositioningsystemshavegoodaccuracyandcanlocatedeviceswithoutadditionalhardware,buttheyaredependentontheavailabilityofWi-Fisignals.Infraredandultrasoundpositioningsystemscanworkinlow-lightconditionsandprovidegoodaccuracy,buttheyareinfluencedbyenvironmentalinterferences.Magneticpositioningsystemshavegoodaccuracyandworkwellinharshenvironments,buttheycanbeeasilydisturbedbymetalobjects.Visual-basedpositioningsystemshavehighaccuracyandworkwellinwell-litenvironments,buttheirperformanceisinfluencedbythequalityofthecameraandtheimageprocessingalgorithm.
DespitetherecentadvancementsinIPS,manychallengesremain.Oneoftheprimaryissuesistheaccuracyofthepositioningsystems.Thisrequiresareliablepositioningalgorithmandhigh-qualitysensors.Thesecondchallengei