DocumentCode :
159048
Title :
Belief rule-based methodology and Particle filter for radar target tracking
Author :
Wei Liu ; Xianqiao Chen ; Xiumin Chu
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear :
2014
fDate :
9-10 Oct. 2014
Firstpage :
85
Lastpage :
90
Abstract :
With the rapid development of information technology in inland waterway, radar was widely used to track the ship running, in order to ensure the safe and efficient shipping industry development, as well as to avoid a ship collision causing unnecessary economic losses. For the problem of radar target tracking data associated, a method of data association with radar data was proposed, which was based on radar target course and speed. By this method, the target error or loss problem was solved when the target density was large and used belief rule-based (BRB) methodology to verify the reliability of this method. Real target points obtained by this method had been filtered through particle filter. And then the radar target tracking was achieved. This method has a good target tracking results, verified by Monte Carlo simulations.
Keywords :
Monte Carlo methods; belief networks; object tracking; particle filtering (numerical methods); radar tracking; rivers; sensor fusion; ships; transportation; BRB methodology; Monte Carlo simulations; belief rule-based methodology; data association; economic losses; inland waterway; particle filter; radar target course; radar target speed; radar target tracking; ship collision; ship tracking; shipping industry development; Marine vehicles; Noise; Particle filters; Radar tracking; Target tracking; Vectors; BRB; particle filter; radar target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-4753-9
Type :
conf
DOI :
10.1109/ICCSS.2014.6961821
Filename :
6961821
Link To Document :
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