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DC FieldValueLanguage
dc.contributor.authorT., D. Tan-
dc.contributor.authorL., M. Ha-
dc.contributor.authorN., T. Long-
dc.contributor.authorN., D. Duc-
dc.contributor.authorN., P. Thuy-
dc.date.accessioned2014-05-13T08:15:51Z-
dc.date.accessioned2015-09-16T07:55:18Z-
dc.date.available2014-05-13T08:15:51Z-
dc.date.available2015-09-16T07:55:18Z-
dc.date.issued2003-
dc.identifier.citationT., D. T., et al. (2003). Land-vehicle mems INS/GPS positioning during GPS signal blockage periods. VNU Joumal of Science, Mathematics - Physics 23, 243-251vi_VN
dc.identifier.issn2588-1124-
dc.identifier.urihttp://repository.vnu.edu.vn/handle/11126/5733-
dc.description.abstractThe demand of vehicle navigation and guidance has been urgent for many years. The idea of integrating multisensor navigation systems was implemented. The most eíĩicient multisensor coníiguration is thc systcm integrating an inertial navigation system (INS) consisting OÍMEMS based micro sensors and a global positioning system (GPS). In such system, the GPS is used for providing position and vclocity whereas the INS for providing orientation. The estimation of the system errors is performed by a Kalman filter (KF). A serious problem occurs in the INS/GPS systcm application that is caused by the accidental GPS signal blockages. In this paper, thc main objective is to improve the accuracy of the obtained navigation parameters during periods of GPS signal outages using điíĩerent methods. The overall pcríbrmance of the system have been analyzcd by expcrimentation data; and results show that thcse mcthods indced improve the quality of the navigation and guidance systems.-
dc.language.isoenvi_VN
dc.publisherĐại học Quốc gia Hà Nộivi_VN
dc.subjectPhương tiện định vị mặt đấtvi_VN
dc.subjectGPSvi_VN
dc.subjectTín hiệu vệ tinhvi_VN
dc.titleLand-vehicle mems INS/GPS positioning during GPS signal blockage periodsvi_VN
dc.typeArticlevi_VN
Appears in Collections:Foreign Studies


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  • Full metadata record
    DC FieldValueLanguage
    dc.contributor.authorT., D. Tan-
    dc.contributor.authorL., M. Ha-
    dc.contributor.authorN., T. Long-
    dc.contributor.authorN., D. Duc-
    dc.contributor.authorN., P. Thuy-
    dc.date.accessioned2014-05-13T08:15:51Z-
    dc.date.accessioned2015-09-16T07:55:18Z-
    dc.date.available2014-05-13T08:15:51Z-
    dc.date.available2015-09-16T07:55:18Z-
    dc.date.issued2003-
    dc.identifier.citationT., D. T., et al. (2003). Land-vehicle mems INS/GPS positioning during GPS signal blockage periods. VNU Joumal of Science, Mathematics - Physics 23, 243-251vi_VN
    dc.identifier.issn2588-1124-
    dc.identifier.urihttp://repository.vnu.edu.vn/handle/11126/5733-
    dc.description.abstractThe demand of vehicle navigation and guidance has been urgent for many years. The idea of integrating multisensor navigation systems was implemented. The most eíĩicient multisensor coníiguration is thc systcm integrating an inertial navigation system (INS) consisting OÍMEMS based micro sensors and a global positioning system (GPS). In such system, the GPS is used for providing position and vclocity whereas the INS for providing orientation. The estimation of the system errors is performed by a Kalman filter (KF). A serious problem occurs in the INS/GPS systcm application that is caused by the accidental GPS signal blockages. In this paper, thc main objective is to improve the accuracy of the obtained navigation parameters during periods of GPS signal outages using điíĩerent methods. The overall pcríbrmance of the system have been analyzcd by expcrimentation data; and results show that thcse mcthods indced improve the quality of the navigation and guidance systems.-
    dc.language.isoenvi_VN
    dc.publisherĐại học Quốc gia Hà Nộivi_VN
    dc.subjectPhương tiện định vị mặt đấtvi_VN
    dc.subjectGPSvi_VN
    dc.subjectTín hiệu vệ tinhvi_VN
    dc.titleLand-vehicle mems INS/GPS positioning during GPS signal blockage periodsvi_VN
    dc.typeArticlevi_VN
    Appears in Collections:Foreign Studies


  • TC_001257.pdf
    • Size : 1,59 MB

    • Format : Adobe PDF

    • View : 
    • Download : 


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