A new positioning algorithm for localization in automatic identification system

Yi Jiang; Shufang Zhang; Dongkai Yang; Kai Zheng

doi:10.1109/SICE.2015.7285397

A new positioning algorithm for localization in automatic identification system

Yi Jiang
, Shufang Zhang
, Dongkai Yang
, Kai Zheng

School of Electronic and Information Engineering

Dalian Maritime University
Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Nowadays, robust position, navigation and timing information becomes an essential foundation of e-navigation, and requires the trials and development of a new system to enhance marine navigation. The automatic identification system (AIS) is an existing system designed for communication originally. A position estimation algorithm in AIS is proposed in this paper. The dual channel compensation algorithm is proposed to get the accurate difference of signal transmission delay from the different shore stations. Then the position of the ship can be estimated using the time difference of arrival (TDOA) technique. Furthermore, the Kalman filter is utilized to correct the rough position estimation. Finally, the positioning algorithm is verified and evaluated by the positioning experiment in the real AIS situation. The results show that the positioning accuracy is acceptable.

Original language	English
Title of host publication	2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7-12
Number of pages	6
ISBN (Electronic)	9784907764487
DOIs	https://doi.org/10.1109/SICE.2015.7285397
State	Published - 30 Sep 2015
Event	54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China Duration: 28 Jul 2015 → 30 Jul 2015

Publication series

Name	2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

Conference

Conference	54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
Country/Territory	China
City	Hangzhou
Period	28/07/15 → 30/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Automatic identification system
Dual channel compensation
Kalman filter
Positioning algorithm
Time difference of arrival

Access to Document

10.1109/SICE.2015.7285397

Cite this

Jiang, Y., Zhang, S., Yang, D., & Zheng, K. (2015). A new positioning algorithm for localization in automatic identification system. In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 (pp. 7-12). Article 7285397 (2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SICE.2015.7285397

Jiang, Yi ; Zhang, Shufang ; Yang, Dongkai et al. / A new positioning algorithm for localization in automatic identification system. 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 7-12 (2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015).

@inproceedings{d3d4608068794ab4a6d9355d1815438c,

title = "A new positioning algorithm for localization in automatic identification system",

abstract = "Nowadays, robust position, navigation and timing information becomes an essential foundation of e-navigation, and requires the trials and development of a new system to enhance marine navigation. The automatic identification system (AIS) is an existing system designed for communication originally. A position estimation algorithm in AIS is proposed in this paper. The dual channel compensation algorithm is proposed to get the accurate difference of signal transmission delay from the different shore stations. Then the position of the ship can be estimated using the time difference of arrival (TDOA) technique. Furthermore, the Kalman filter is utilized to correct the rough position estimation. Finally, the positioning algorithm is verified and evaluated by the positioning experiment in the real AIS situation. The results show that the positioning accuracy is acceptable.",

keywords = "Automatic identification system, Dual channel compensation, Kalman filter, Positioning algorithm, Time difference of arrival",

author = "Yi Jiang and Shufang Zhang and Dongkai Yang and Kai Zheng",

note = "Publisher Copyright: {\textcopyright} 2015 The Society of Instrument and Control Engineers-SICE.; 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 ; Conference date: 28-07-2015 Through 30-07-2015",

year = "2015",

month = sep,

day = "30",

doi = "10.1109/SICE.2015.7285397",

language = "英语",

series = "2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "7--12",

booktitle = "2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015",

address = "美国",

}

Jiang, Y, Zhang, S, Yang, D & Zheng, K 2015, A new positioning algorithm for localization in automatic identification system. in 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015., 7285397, 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 7-12, 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015, Hangzhou, China, 28/07/15. https://doi.org/10.1109/SICE.2015.7285397

A new positioning algorithm for localization in automatic identification system. / Jiang, Yi; Zhang, Shufang; Yang, Dongkai et al.
2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 7-12 7285397 (2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new positioning algorithm for localization in automatic identification system

AU - Jiang, Yi

AU - Zhang, Shufang

AU - Yang, Dongkai

AU - Zheng, Kai

PY - 2015/9/30

Y1 - 2015/9/30

N2 - Nowadays, robust position, navigation and timing information becomes an essential foundation of e-navigation, and requires the trials and development of a new system to enhance marine navigation. The automatic identification system (AIS) is an existing system designed for communication originally. A position estimation algorithm in AIS is proposed in this paper. The dual channel compensation algorithm is proposed to get the accurate difference of signal transmission delay from the different shore stations. Then the position of the ship can be estimated using the time difference of arrival (TDOA) technique. Furthermore, the Kalman filter is utilized to correct the rough position estimation. Finally, the positioning algorithm is verified and evaluated by the positioning experiment in the real AIS situation. The results show that the positioning accuracy is acceptable.

AB - Nowadays, robust position, navigation and timing information becomes an essential foundation of e-navigation, and requires the trials and development of a new system to enhance marine navigation. The automatic identification system (AIS) is an existing system designed for communication originally. A position estimation algorithm in AIS is proposed in this paper. The dual channel compensation algorithm is proposed to get the accurate difference of signal transmission delay from the different shore stations. Then the position of the ship can be estimated using the time difference of arrival (TDOA) technique. Furthermore, the Kalman filter is utilized to correct the rough position estimation. Finally, the positioning algorithm is verified and evaluated by the positioning experiment in the real AIS situation. The results show that the positioning accuracy is acceptable.

KW - Automatic identification system

KW - Dual channel compensation

KW - Kalman filter

KW - Positioning algorithm

KW - Time difference of arrival

UR - https://www.scopus.com/pages/publications/84960099711

U2 - 10.1109/SICE.2015.7285397

DO - 10.1109/SICE.2015.7285397

M3 - 会议稿件

AN - SCOPUS:84960099711

T3 - 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

SP - 7

EP - 12

BT - 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

Y2 - 28 July 2015 through 30 July 2015

ER -

Jiang Y, Zhang S, Yang D, Zheng K. A new positioning algorithm for localization in automatic identification system. In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 7-12. 7285397. (2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015). doi: 10.1109/SICE.2015.7285397

A new positioning algorithm for localization in automatic identification system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this