DocumentCode :
179784
Title :
A network of HF surface wave radars for maritime surveillance: Preliminary results in the German Bight
Author :
Maresca, Salvatore ; Braca, Paolo ; Horstmann, Jochen ; Grasso, Raffaele
Author_Institution :
NATO STO CMRE, La Spezia, Italy
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
6077
Lastpage :
6081
Abstract :
In the context of maritime surveillance, low-power HF surface-wave (HFSW) radars have demonstrated to be a cost-effective long-range early-warning sensor for ship detection and tracking. In this work, multi-target tracking and data fusion techniques are applied to live-recorded data from a network of oceanographic HFSW radars installed in the German Bight (North Sea). This experimentation closely follows the one conducted in the Ligurian Sea (Mediterranean Sea) by NATO Science and Technology Organization (STO) Centre for Maritime Research and Experimentation (CMRE) during the Battlespace Preparation 2009 (BP09) campaign. Ship reports from the Automatic Identification System (AIS), recorded from both coastal and satellite-based stations, are exploited as ground truth information and a methodology is applied to classify the fused tracks and to estimate system performances. Preliminary results are presented and discussed, together with an outline for future works.
Keywords :
marine radar; military radar; radar target recognition; radar tracking; search radar; target tracking; German Bight; HF surface wave radar network; automatic identification system; coastal based station; data fusion technique; ground truth information; high frequency surface wave radar; long range early warning sensor; low-power HF surface-wave radar; maritime surveillance; multitarget tracking technique; oceanographic HFSW radar; satellite based station; ship detection; ship tracking; Marine vehicles; Radar tracking; Sea measurements; Sea surface; Surveillance; Target tracking; AIS reports; High-frequency surface-wave radar; data fusion; real data; target detection and tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854771
Filename :
6854771
Link To Document :
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