An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing
Loading...
Date
2018-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IGI Global
Abstract
Thisarticleformulated,simulatedandevaluatedanenhancedmodelforanon-linear/non-Gaussian integratedGlobalPositioningSystem(GPS)andInertialNavigationSystem(INS)mobile-baseddevice navigationsystemusingtheParticleFilter(PF).Thiswaswithaviewtoenhancingtheaccuracy andminimizethedelayexperiencedintheexistingsystemwhichreliesonlineardata.Anandroid drivenInfinixX5mobiledevicewithGPSandINS-basedsensorswasusedtoimplementthemodel formulated,standardBayesianestimatorswereusedtogeneratenon-lineardatasetswithGaussian/ non-GaussianwhitenoisesformobiledevicebasedINS/GPSsensors.Amathematicalmodelwas formulatedusingSamplingImportance-weightResampling(SIR)algorithmofthePF.Theconceptual modelwasdevelopedusingSimulinkandthedesignspecificationwasdoneusingUnifiedModeling Language(UML).ThemodelwassimulatedwithMATLABandthesimulationresultsobtainedwere evaluatedusingstandardmetrics,andbenchmarkedwithexistingmodel.Theoverallresultsshowed thattheproposedmodelperformedbetterthanexistingonesintermofaccuracy.However,themodel didnotimpactondelayreduction.
Description
TITLE:An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing
VOLUME NO:9
ISSUE NO:2 JANUARY TO MARCH 2018
PAGES:23
Keywords
GPS, INS, Kalman Filter, Navigation, Particle, Re-Sampling, SIR