基于近海雷达与AIS探测目标融合算法研究
A Fusion Algorithm of Targets monitored by Radar and AIS sensors Based on offshore Radar Station
投稿时间:2020-02-16  修订日期:2020-04-08
DOI:
中文关键词:  雷达  AIS  信息融合  欧氏距离  柯西型隶属度函数
英文关键词:Radar  AIS  information fusion  Euclidean distance  Cauchy membership function
基金项目:2018年广东省级促进经济发展专项资金(海洋经济发展用途)重点项目(GDME-2018E003);国家自然科学(41771384);广东海洋大学2017年“创新强校工程”自主创新能力提升项目(GDOU2017052501)
作者单位E-mail
邢旭峰 广东海洋大学 xingxf@gdou.edu.cn 
谢仕义 广东海洋大学  
黄妙芬 广东海洋大学  
杨光照 湛江海兰寰宇海洋信息科技有限公司  
黄山 湛江海兰寰宇海洋信息科技有限公司  
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中文摘要:
      基于岸基雷达站的雷达传感器以及船舶自动识别系统AIS(Automatic Identification System)接受天线所获取的目标信息,针对近岸海域目标密集的特点,提出了一种提高雷达与AIS信息融合精度的算法。在将雷达站心球坐标系的位置信息转换成AIS的WGS 84坐标系位置信息实现空间配准、将AIS航迹的时间通过外推法与雷达航迹时间统一起来的基础上,该算法首先采用目标位置及航速的欧氏距离判别法,剔除一部分不符合条件的目标数据,减少参与融合的数据量,然后进一步采用模糊数学中的柯西型隶属度函数及统计加权法对航迹相似度判断。研究结果表明,本文所提出的融合算法适用于目标信息量较密集的近海海域。
英文摘要:
      Based on the target information received by the radar sensors of the shore-based radar stations and the receiving antennas of the automatic identification system (AIS), an algorithm was proposed to improve the accuracy of radar and AIS information fusion according to the characteristics that targets in the coastal waters are dense. The position information of the spherical coordinate system of radar station center is converted into the AIS WGS 84 coordinate system position information to register spatially, and the AIS track time and the radar track time are unified by extrapolation method. Then the Euclidean distance discrimination method was adopted in target position and target speed to eliminate part of target data that does not meet the conditions and reduce the amount of data involved in fusion and the similarity of the tracks was further judged by the Cauchy membership function in the fuzzy mathematics. The results show that the fusion algorithm proposed in this paper is suitable for offshore areas with dense target information.
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