Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system

2018 ◽  
Vol 37 (7) ◽  
pp. 131-140
Author(s):  
Hui Zhang ◽  
Yongxin Liu ◽  
Yonggang Ji ◽  
Linglin Wang
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Automatic Identification ◽  
Identification System ◽  
Dual Frequency ◽  
Automatic Identification System ◽  
Wave Radar ◽  
Fusion Tracking

Wave Height Field Extraction From First-Order Doppler Spectra of a Dual-Frequency Wide-Beam High-Frequency Surface Wave Radar

2020 ◽  
Vol 58 (2) ◽  
pp. 1017-1029 ◽  
Author(s):  
Yingwei Tian ◽  
Zhen Tian ◽  
Jiurui Zhao ◽  
Biyang Wen ◽  
Weimin Huang
Keyword(s):  
Surface Wave ◽  
Wave Height ◽  
High Frequency ◽  
Height Field ◽  
Dual Frequency ◽  
Wide Beam ◽  
First Order ◽  
Wave Radar

Vessel target detection based on fusion range‐Doppler image for dual‐frequency high‐frequency surface wave radar

2016 ◽  
Vol 10 (2) ◽  
pp. 333-340 ◽  
Author(s):  
Yonggang Ji ◽  
Jie Zhang ◽  
Yiming Wang ◽  
Xiaoliang Chu
Keyword(s):  
Surface Wave ◽  
Target Detection ◽  
High Frequency ◽  
Dual Frequency ◽  
Doppler Image ◽  
Wave Radar

Automatic Identification System Receiver for Small Fishing Vessels

2020 ◽  
Author(s):  
Febus Reidj G. Cruz ◽  
Jeremiah A. Ordiales ◽  
Malvin Angelo C. Reyes ◽  
Pinky T. Salvanera
Keyword(s):  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Fishing Vessels

Automatic identification system data-driven model for analysis of ship domain near bridge-waters

2021 ◽  
pp. 1-22
Author(s):  
Lei Jinyu ◽  
Liu Lei ◽  
Chu Xiumin ◽  
He Wei ◽  
Liu Xinglong ◽  
...  
Keyword(s):  
Least Squares Method ◽  
Automatic Identification ◽  
Identification System ◽  
Collision Risk ◽  
Automatic Identification System ◽  
Domain Models ◽  
System Data ◽  
Quantification Model ◽  
Highly Correlated

Abstract The ship safety domain plays a significant role in collision risk assessment. However, few studies take the practical considerations of implementing this method in the vicinity of bridge-waters into account. Therefore, historical automatic identification system data is utilised to construct and analyse ship domains considering ship–ship and ship–bridge collisions. A method for determining the closest boundary is proposed, and the boundary of the ship domain is fitted by the least squares method. The ship domains near bridge-waters are constructed as ellipse models, the characteristics of which are discussed. Novel fuzzy quaternion ship domain models are established respectively for inland ships and bridge piers, which would assist in the construction of a risk quantification model and the calculation of a grid ship collision index. A case study is carried out on the multi-bridge waterway of the Yangtze River in Wuhan, China. The results show that the size of the ship domain is highly correlated with the ship's speed and length, and analysis of collision risk can reflect the real situation near bridge-waters, which is helpful to demonstrate the application of the ship domain in quantifying the collision risk and to characterise the collision risk distribution near bridge-waters.

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