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A Vessel Positioning Algorithm Based on Satellite Automatic Identification System
Joint Authors
Meng, Xin
Ma, Shexiang
Wang, Jie
Wang, Junfeng
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Vessels can obtain high precision positioning by using the global navigation satellite system (GNSS), but when the ship borne GNSS receiver fails, the existence of an alternative positioning system is important for the navigation safety of vessel.
In this paper, a localization method based on the signals transmitted by satellite-based automatic identification system (AIS) is proposed for vessel in GNSS-denied environments.
In the proposed method, the positioning model is a modification on the basis of time difference and frequency difference of arrival measurements by introducing an additional measurement, and the measurement is obtained through the interactive multiple model algorithm.
The performance of the proposed strategy is evaluated through simulations, and the results validate the feasibility and reliability of vessel localization based on satellite-based AIS.
American Psychological Association (APA)
Ma, Shexiang& Wang, Jie& Meng, Xin& Wang, Junfeng. 2017. A Vessel Positioning Algorithm Based on Satellite Automatic Identification System. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1175386
Modern Language Association (MLA)
Ma, Shexiang…[et al.]. A Vessel Positioning Algorithm Based on Satellite Automatic Identification System. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1175386
American Medical Association (AMA)
Ma, Shexiang& Wang, Jie& Meng, Xin& Wang, Junfeng. A Vessel Positioning Algorithm Based on Satellite Automatic Identification System. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1175386
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175386