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作 者:伍斯 郭湘南 WU Si;GUO Xiangnan(Wuhan Research Institute of Posts and Telecommunications,Wuhan 430074,China;Fiberhome Telecommunication,Wuhan 430200,China)
机构地区:[1]武汉邮电科学研究院,湖北武汉430074 [2]烽火通信,湖北武汉430200
出 处:《电子设计工程》2022年第18期58-62,共5页Electronic Design Engineering
摘 要:船舶自动识别系统AIS、雷达均为船只在海上航行的重要设备。由于AIS与雷达各有优劣,并且具有鲜明的互补性,考虑在同一条船上同时加载AIS和雷达,针对雷达数据和AIS数据进行融合,通过构建关联函数来研究AIS和雷达目标航迹的相关性,设计基于统计加权协方差的融合算法模型,求解加权融合航迹,结合仿真系统生成的模拟数据,将航迹融合前后的四个目标因素做对比实验,得到融合后的距离、方位、航速、航向相比于雷达分别提升了64.49%、51.64%、69.71%、31.86%,相比于AIS分别提升了29.98%、32.17%、29.21%、21.38%。The automatic identification system AIS and radar are both important equipment for ships sailing at sea.Because of AIS and radar each have advantages and disadvantages,and is complementary,to consider in the same boat loaded AIS and radar at the same time,for the radar and AIS data fusion,the correlation function is constructed to study the correlation of AIS and radar target track,design model of fusion algorithm based on weighted covariance statistics,to solve the weighted track fusion,Combined with the simulation data generated by the simulation system,the four target factors before and after the track fusion are compared with the experiment,and the range,azimuth,speed and heading after the fusion are improved by 64.49%,51.64%,69.71%and 31.86%compared with the radar.Compared with AIS,it has improved by 29.98%,32.17%,29.21%and 21.38%.
分 类 号:TN96[电子电信—信号与信息处理]
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