Title :
Data fusion performance of HFSWR systems for ship traffic monitoring
Author :
Maresca, Salvatore ; Braca, Paolo ; Horstmann, Jochen
Author_Institution :
Centre for Maritime Res. & Experimentation, La Spezia, Italy
Abstract :
In Maritime Situational Awareness (MSA), low-power High-Frequency Surface-Wave (HFSW) radars fit the role of long-range early-warning tools by virtue of their over-the-horizon (OTH) coverage. Unfortunately these sensors, developed mainly for ocean remote sensing applications, exhibit poor range and azimuth resolution, high non-linearity and significant false alarm rate due to clutter and interference.
Keywords :
Kalman filters; computerised monitoring; electromagnetic interference; geophysical signal processing; marine engineering; marine radar; nonlinear filters; radar clutter; remote sensing by radar; sensor fusion; ships; 3D ordered statistics constant false alarm rate detection algorithm; 3D range-azimuth-doppler OS-CFAR detection algorithm; AIS; BP09 HF-radar experiment; FAR; HFSW radars; HFSWR systems; JPDA logic; JPDA-UKF tracking algorithm; MSA; NATO Battlespace Preparation 2009 HF-radar experiment; OTH coverage; RMSE; T2T-A-F strategy; ToT; UKF; automatic identification system; azimuth resolution; data fusion performance; false alarm rate; false track analysis; ground truth information; joint probabilistic data association logic; long-range early-warning tools; low-power high-frequency surface-wave radars; maritime situational awareness; multisensor tracking performance; ocean remote sensing applications; over-the-horizon coverage; purpose-defined performance metrics; root mean square error; ship traffic monitoring; single-sensor tracking performance; time-on-target; track length modelling; track-to-track association and fusion logic; true track analysis; unscented Kalman filter; Azimuth; Marine vehicles; Radar tracking; Sensors; Target tracking; Vectors; data fusion; high-frequency surface wave (HFSW) radar; real data; sea clutter; target detection; target tracking;
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3
