摘要
雷达与AIS(船舶自动识别系统)是海上交通获取船舶目标信息的2种重要导航设备,其目标信息在内容和精度上具有差异性,且具有互补性。为了获得目标更精确和更可靠的信息,需要将其目标信息进行融合,而目标关联判断则是融合最关键的环节。基于多传感器信息融合理论和神经网络中的BP算法原理,设计了合理的网络结构,提出了一种基于BP网络的雷达与AIS目标关联算法,基于实测数据,对关联算法进行Matlab仿真与分析,仿真分析的结果表明算法的可用性和有效性。
Radar and AIS(Automatic Identification System) are two kinds of important equipment to obtain targets information in marine traffic, but the content and accuracy of both information are different, which can complement for each other in a certain sense. To hand more reliable and precise of the targets information, information fusion is necessary, and targets association decision is the indispensable stage in the whole process. According to multi-sensor information fusion theory and principle of BP neural network, a targets association algorithm of radar and AIS based on BP network was proposed, after the discussion of net structure design, simulation results validate the proposed algorithm's availability and effectiveness by Matlab software application.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2015年第3期506-514,共9页
Journal of System Simulation
基金
交通运输部应用基础(主干学科)项目(2014329815090)
福建省自然科学基金(2013J01203)
厦门市科技计划项目(3502Z20130005)
