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Model performance assessment for long-term vessel prediction using HFSW radar data

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Abstract
Vessels in open seas are seldom continuously observed. Thus, the problem of long-term vessel prediction becomes crucial. This paper focuses its attention on the performance assessment of the Ornstein- Uhlenbeck target motion model comparing it with the well-established nearly constant velocity model. A gating association procedure and proper performance metrics are introduced to assess the performance using automatic identification system and high-frequency surface wave radar data

URI
http://hdl.handle.net/20.500.12489/805

Report Number
CMRE-PR-2019-065

Source
In: 2017 IEEE Radar Conference (RadarConf), 08-12 May 2017, Seattle, WA, USA, pp. 243-247, doi: 10.1109/RADAR.2017.7944205

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Date
2019/06

Author(s)
Vivone, Gemine
; 
Millefiori, Leonardo
; 
Braca, Paolo
; 
Willett, Peter K.

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CMRE-PR-2019-065.pdf (1.385Mb)

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