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Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion
Joint Authors
Chong, Kil To
Ryu, Ji Hyoung
Gankhuyag, Ganduulga
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-06
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Commercial navigation systems currently in use have reduced position and heading error but are usually quite expensive.
It is proposed that extended Kalman filter (EKF) and Unscented Kalman Filter (UKF) be used in the integration of a global positioning system (GPS) with an inertial navigation system (INS).
GPS and INS individually exhibit large errors but they do complement each other by maximizing the advantage of each in calculating the heading angle and position through EKF and UKF.
The proposed method was tested using low cost GPS, a cheap electronic compass (EC), and an inertial management unit (IMU) which provided accurate heading and position information, verifying the efficacy of the proposed algorithm.
American Psychological Association (APA)
Ryu, Ji Hyoung& Gankhuyag, Ganduulga& Chong, Kil To. 2016. Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion. Journal of Sensors،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1110615
Modern Language Association (MLA)
Ryu, Ji Hyoung…[et al.]. Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion. Journal of Sensors No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1110615
American Medical Association (AMA)
Ryu, Ji Hyoung& Gankhuyag, Ganduulga& Chong, Kil To. Navigation System Heading and Position Accuracy Improvement through GPS and INS Data Fusion. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1110615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110615