A Vessel Positioning Algorithm Based on Satellite Automatic Identification System. (3rd December 2017)
- Record Type:
- Journal Article
- Title:
- A Vessel Positioning Algorithm Based on Satellite Automatic Identification System. (3rd December 2017)
- Main Title:
- A Vessel Positioning Algorithm Based on Satellite Automatic Identification System
- Authors:
- Ma, Shexiang
Wang, Jie
Meng, Xin
Wang, Junfeng - Other Names:
- Özdemir Caner Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Journal of electrical and computer engineering. Volume 2017(2017)
- Journal:
- Journal of electrical and computer engineering
- Issue:
- Volume 2017(2017)
- Issue Display:
- Volume 2017, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 2017
- Issue:
- 2017
- Issue Sort Value:
- 2017-2017-2017-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-12-03
- Subjects:
- Computer engineering -- Periodicals
Electrical engineering -- Periodicals
621.3905 - Journal URLs:
- https://www.hindawi.com/journals/jece/ ↗
- DOI:
- 10.1155/2017/8097187 ↗
- Languages:
- English
- ISSNs:
- 2090-0147
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22820.xml