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