Bayesian information fusion and multitarget tracking for maritime situational awareness

The goal of maritime situational awareness (MSA) is to provide a seamless wide-area operational picture of ship traffic in coastal areas and the oceans in real time. Radar is a central sensing modality for MSA. In particular, oceanographic high-frequency surface-wave (HFSW) radars are attractive for...

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Bibliographic Details
Published in:	IET radar, sonar & navigation Vol. 14; no. 12; pp. 1845 - 1857
Main Authors:	Gaglione, Domenico, Soldi, Giovanni, Meyer, Florian, Hlawatsch, Franz, Braca, Paolo, Farina, Alfonso, Win, Moe Z
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 01.12.2020
Subjects:	authors Bayes methods Bayesian framework Bayesian information fusion central sensing modality coastal areas context‐based information dedicated information fusion geophysical signal processing HFSW radar data high‐frequency surface‐wave radars information fusion algorithms loopy sum‐product algorithm low environmental footprint low power requirements marine radar maritime situational awareness MSA applications multisensor‐multitarget tracking problem oceanographic techniques over‐the‐horizon distances radar detection radar tracking Research Article sea areas sensor fusion ship traffic ships suitably devised factor graph target tracking tracking algorithms wide‐area operational picture oceanographic techniques radar detection dedicated information fusion loopy sum-product algorithm information fusion algorithms sensor fusion context-based information sea areas tracking algorithms Bayesian information fusion coastal areas ship traffic multisensor-multitarget tracking problem high-frequency surface-wave radars MSA applications HFSW radar data marine radar radar tracking low power requirements Bayesian framework geophysical signal processing low environmental footprint maritime situational awareness wide-area operational picture ships target tracking central sensing modality Bayes methods suitably devised factor graph over-the-horizon distances authors
ISSN:	1751-8784, 1751-8792
Online Access:	Get full text
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