| 基于近海雷达与AIS探测目标融合算法研究 |
| |
| 引用本文： | 邢旭峰,谢仕义,黄妙芬,杨光照,黄山.基于近海雷达与AIS探测目标融合算法研究[J].海洋技术,2020,39(3):8-15. |
| |
| 作者姓名： | 邢旭峰 谢仕义 黄妙芬 杨光照 黄山 |
| |
| 作者单位： | 广东海洋大学,广东 湛江 524088;湛江海兰寰宇海洋科技信息有限公司,广东 湛江 524088 |
| |
| 基金项目： | 国家自然科学基金;广东省级促进经济发展专项资金资助项目;广东海洋大学创新强校工程自主创新能力提升项目 |
| |
| 摘 要： | 利用岸基雷达站的雷达传感器以及船舶自动识别系统(Automatic Identification System,AIS)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。该算法在将雷达基于站心球坐标系的位置信息转换成AIS基于WGS 84坐标系的位置信息实现空间配准、以及将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,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较密集的近海海域。
|
| 关 键 词： | 雷达 AIS 信息融合 欧氏距离 柯西型隶属度函数 |
A Target Fusion Algorithm Based on offshore Radar and AIS sensors Wave-Measuring Sensor Buoy |
| |
| XING Xu-feng,XIE Shi-yi,HUANG Miao-fen,YANG Guang-zhao,HUANG Shan.A Target Fusion Algorithm Based on offshore Radar and AIS sensors Wave-Measuring Sensor Buoy[J].Ocean Technology,2020,39(3):8-15. |
| |
| Authors: | XING Xu-feng XIE Shi-yi HUANG Miao-fen YANG Guang-zhao HUANG Shan |
| |
| Institution: | (Guangdong Ocean University,Zhanjiang 524088,Guangdong Provice,China;Zhanjiang Uniseas Ocean Information Technology CO.,Ltd.,Zhanjiang 524088,Guangdong Provice,China) |
| |
| Abstract: | 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. |
| |
| Keywords: | radar AIS information fusion euclidean distance cauchy membership function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《海洋技术》浏览原始摘要信息 |
| 点击此处可从《海洋技术》下载免费的PDF全文 |
|
