Reliability Analysis of Network Real-Time Kinematic.
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| Title: | Reliability Analysis of Network Real-Time Kinematic. |
|---|---|
| Authors: | Ouassou, Mohammed1, Natvig, Bent2, Jensen, Anna B. O.3, Gåsemyr, Jørund I.2 |
| Source: | Journal of Electrical & Computer Engineering. 6/6/2018, p1-16. 16p. |
| Subjects: | Computer reliability, Kinematics, Standard deviations, Robust control, Stochastic convergence |
| Abstract: | The multistate reliability theory was applied to the network real-time kinematic (NRTK) data processing chain, where the qualities of the network corrections, baseline residuals, and the associated variance-covariance matrices are considered as the system state vectors. The state vectors have direct influence on the rover receiver position accuracy. The penalized honored stochastic averaged standard deviation (PHSASD) is used to map the NRTK sensitive data, represented by the states vectors to different levels of performance. The study shows that the improvement is possible by identification of critical components in the NRTK system and implementation of some parallelism that makes the system more robust. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Electrical & Computer Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 129987008 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Reliability Analysis of Network Real-Time Kinematic. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ouassou%2C+Mohammed%22">Ouassou, Mohammed</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Natvig%2C+Bent%22">Natvig, Bent</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Jensen%2C+Anna+B%2E+O%2E%22">Jensen, Anna B. O.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Gåsemyr%2C+Jørund+I%2E%22">Gåsemyr, Jørund I.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Electrical+%26+Computer+Engineering%22">Journal of Electrical & Computer Engineering</searchLink>. 6/6/2018, p1-16. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+reliability%22">Computer reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+convergence%22">Stochastic convergence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The multistate reliability theory was applied to the network real-time kinematic (NRTK) data processing chain, where the qualities of the network corrections, baseline residuals, and the associated variance-covariance matrices are considered as the system state vectors. The state vectors have direct influence on the rover receiver position accuracy. The penalized honored stochastic averaged standard deviation (PHSASD) is used to map the NRTK sensitive data, represented by the states vectors to different levels of performance. The study shows that the improvement is possible by identification of critical components in the NRTK system and implementation of some parallelism that makes the system more robust. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Electrical & Computer Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2018/8260479 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Subjects: – SubjectFull: Computer reliability Type: general – SubjectFull: Kinematics Type: general – SubjectFull: Standard deviations Type: general – SubjectFull: Robust control Type: general – SubjectFull: Stochastic convergence Type: general Titles: – TitleFull: Reliability Analysis of Network Real-Time Kinematic. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ouassou, Mohammed – PersonEntity: Name: NameFull: Natvig, Bent – PersonEntity: Name: NameFull: Jensen, Anna B. O. – PersonEntity: Name: NameFull: Gåsemyr, Jørund I. IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 06 Text: 6/6/2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 20900147 Titles: – TitleFull: Journal of Electrical & Computer Engineering Type: main |
| ResultId | 1 |
