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Unformatted text preview: A Low-costFingerprintPositioningSystem in Cellular Networks ClaudeTakenga Instituteofcommunicationsengineering LeibnizUniversityofHannover Appelstrasse9A,30167Hannover,Germany email@example.com Abstract- An ultimateaim ofmobilepositioningresearchis to find a method providing high estimation accuracy to the user within minimum delay and at minimum cost. Conventional location techniques based on trilateration and triangulationrelyonline-of-sightpathbetweenthebasestation antennaandthemobileunit.Indenselybuilturbanareas,this assumption israrely valid. This fact degrades the location performanceoftheconventionaltechniquesand motivatesthe need fordevelopment ofmore accurate technique suitedfor these areas. Positioning system developed in thisresearch is dividedintothreesub-systems.The firstsub-systemsolvesthe problemsrelatedtofingerprintlocalizationandinvolvesneural networkaskeyelementofthepositioningalgorithm.The post- processingtaskswhichincludetrackingandmap-matchingare performedinthesecondandthirdsub-systemsrespectively. Keywords- FingerprintPositioning,MobileLocalization, KalmanFilter,Map-Matching,NeuralNetworks. I. INTRODUCTION Mobilelocalizationtechniqueshavebeenunderstrong development during the last years. There is a broad agreement that localization will play a central role in enablingvalue-addedservicesinthe new generationcellular networks and thatthese services requirehigh accuracy at lowcost.TheGlobalPositioningSystem(GPS)isapopular solution for providing location in terrestrial wireless communication networks. GPS isaproven technologyand provides high accuracy when a line-of-sight (LOS) path exists between the receiver and at least four satellites. However, GPS isofteninoperableinareas where satellites areblocked,suchasinbuildingsandbuilt-upurbanareas. Much of the activities in the area of wireless positioninghavebeendrivenbythe1996Reportandorder of the Federal Communications Commission (FCC) . Since then,differentpositioningsystems working within a cellularnetworkhavebeendeveloped[2-4].Parametersthat are often measured and used forlocationincludereceived signal strength (RSS), angle-of-arrival (AoA), time-of- arrival(ToA)andtimedifferencesofarrival(TDoA). Directionfindingandrangingmethodsperformwellin environment characterised with LOS. Indense urban area, additionalalgorithmsshouldbeaddedwhichdealwithnon- line-of-sight (NLOS). Moreover, these methods require additionalequipmentfortheirimplementations (directional antennas at every base station (BS) for AoA and very accurateclockforrangingmethods). KyandoghereKyamakya DepartmentofSmartSystemTechnologies AlpenAdriaUniversityKlagenfurt Klagenfurt,Austria Kyandoghere.firstname.lastname@example.org Fingerprint localization methods perform relatively betterinurbanareacomparedtoothermethods. Moreover, thisapproachdoesnotrequireanyadditionalequipmentfor itsimplementationtotheexistingcellularnetworks....
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This note was uploaded on 10/01/2010 for the course ELEC 6111 taught by Professor Brown during the Spring '10 term at E. Illinois.
- Spring '10