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Reliability Analysis of Network Real-Time Kinematic
Joint Authors
Ouassou, Mohammed
Natvig, Bent
Jensen, Anna B. O.
Gåsemyr, Jørund I.
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-06
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Ouassou, Mohammed& Natvig, Bent& Jensen, Anna B. O.& Gåsemyr, Jørund I.. 2018. Reliability Analysis of Network Real-Time Kinematic. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1184539
Modern Language Association (MLA)
Ouassou, Mohammed…[et al.]. Reliability Analysis of Network Real-Time Kinematic. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1184539
American Medical Association (AMA)
Ouassou, Mohammed& Natvig, Bent& Jensen, Anna B. O.& Gåsemyr, Jørund I.. Reliability Analysis of Network Real-Time Kinematic. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1184539
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184539