An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing
TITLE:An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing VOLUME NO:9 ISSUE NO:2 JANUARY TO MARCH 2018 PAGES:23
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| Formato: | Periódico |
| Idioma: | inglês |
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IGI Global
2023
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| Acesso em linha: | https://ir.oauife.edu.ng/123456789/5215 |
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| _version_ | 1810764580094214144 |
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| author | Olajubu, Emmanuel efiong, john E |
| author_facet | Olajubu, Emmanuel efiong, john E |
| author_sort | Olajubu, Emmanuel |
| collection | DSpace |
| description | TITLE:An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing
VOLUME NO:9
ISSUE NO:2 JANUARY TO MARCH 2018
PAGES:23 |
| format | Journal |
| id | oai:ir.oauife.edu.ng:123456789-5215 |
| institution | My University |
| language | English |
| publishDate | 2023 |
| publisher | IGI Global |
| record_format | dspace |
| spelling | oai:ir.oauife.edu.ng:123456789-52152023-05-13T18:08:10Z An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing Olajubu, Emmanuel efiong, john E GPS, INS, Kalman Filter, Navigation, Particle, Re-Sampling, SIR TITLE:An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing VOLUME NO:9 ISSUE NO:2 JANUARY TO MARCH 2018 PAGES:23 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. 2023-05-13T16:22:35Z 2023-05-13T16:22:35Z 2018-01 Journal https://ir.oauife.edu.ng/123456789/5215 en application/pdf IGI Global |
| spellingShingle | GPS, INS, Kalman Filter, Navigation, Particle, Re-Sampling, SIR Olajubu, Emmanuel efiong, john E An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing |
| title | An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing |
| title_full | An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing |
| title_fullStr | An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing |
| title_full_unstemmed | An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing |
| title_short | An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing |
| title_sort | enhanced mobile device based navigation model ubiquitous computing |
| topic | GPS, INS, Kalman Filter, Navigation, Particle, Re-Sampling, SIR |
| url | https://ir.oauife.edu.ng/123456789/5215 |
| work_keys_str_mv | AT olajubuemmanuel anenhancedmobiledevicebasednavigationmodelubiquitouscomputing AT efiongjohne anenhancedmobiledevicebasednavigationmodelubiquitouscomputing AT olajubuemmanuel enhancedmobiledevicebasednavigationmodelubiquitouscomputing AT efiongjohne enhancedmobiledevicebasednavigationmodelubiquitouscomputing |