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http://dx.doi.org/10.5394/KINPR.2013.37.5.447

Systematic Error Correction of Sea Surveillance Radar using AtoN Information  

Kim, Byung-Doo (Convergence Security Research Team, ETRI)
Kim, Do-Hyeung (Convergence Security Research Team, ETRI)
Lee, Byung-Gil (Convergence Security Research Team, ETRI)
Publication Information
Journal of Navigation and Port Research / v.37, no.5, 2013 , pp. 447-452 More about this Journal
Abstract
Vessel traffic system uses multiple sea surveillance radars as a primary sensor to obtain maritime traffic information like as ship's position, speed, course. The systematic errors such as the range bias and the azimuth bias of the two-dimensional radar system can significantly degrade the accuracy of the radar image and target tracking information. Therefore, the systematic errors of the radar system should be corrected precisely in order to provide the accurate target information in the vessel traffic system. In this paper, it is proposed that the method compensates the range bias and the azimuth bias using AtoN information installed at VTS coverage. The radar measurement residual error model is derived from the standard error model of two-dimensional radar measurements and the position information of AtoN, and then the linear Kalman filter is designed for estimation of the systematic errors of the radar system. The proposed method is validated via Monte-Carlo runs. Also, the convergence characteristics of the designed filter and the accuracy of the systematic error estimates according to the number of AtoN information are analyzed.
Keywords
Vessel Traffic System; Sea Surveillance Radar; Systematic Error; Navigation Aids; Kalman Filter;
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