Ship trajectory fusion method based on minimum variance principle

Radar and Automatic Identification System (AIS) are important equipment for ship navigation. Obtaining ship target information through radar and AIS has the characteristics of different content, accuracy and reliability, and the integration of the two can achieve complementary advantages and improve the accuracy and reliability of navigation system, which is the trend of ship shipping technology development. This paper focuses on the research on track association, track filtering and track fusion in the process of track fusion between radar and ship automatic identification system, and the track fusion results show that the accuracy of the fused ship target track information is higher than that obtained by radar and AIS.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054815
Primary Topic
Maritime Navigation and Safety
Type
article
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article

Ship trajectory fusion method based on minimum variance principle

Binpeng Zhang
Maritime Navigation and Safety
article

Ship trajectory fusion method based on minimum variance principle

Binpeng Zhang
article en

Abstract

Radar and Automatic Identification System (AIS) are important equipment for ship navigation. Obtaining ship target information through radar and AIS has the characteristics of different content, accuracy and reliability, and the integration of the two can achieve complementary advantages and improve the accuracy and reliability of navigation system, which is the trend of ship shipping technology development. This paper focuses on the research on track association, track filtering and track fusion in the process of track fusion between radar and ship automatic identification system, and the track fusion results show that the accuracy of the fused ship target track information is higher than that obtained by radar and AIS.

Openalex Percentile: Top 68%
Maritime Navigation and Safety
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Ship trajectory fusion method based on minimum variance principle — Binpeng Zhang · (2024) | TGRS Research Map | TGRS