VTS多雷达目标融合技术

发布时间：2018-04-03 16:53

本文选题：船舶交通管理系统　切入点：雷达　出处：《大连海事大学》2017年硕士论文

【摘要】：为了更好的为船舶提供助航服务、交通组织服务,有效监管船舶动态,减少水上交通事故,船舶交通管理系统(Vesse1 Traffic Services,简称VTS)在我国海事部门获得广泛应用。多源信息融合技术(又称多传感器数据融合技术)是VTS国产化的关键技术之一。VTS多源信息融合技术包括多雷达目标融合和雷达与AIS目标融合等,本文研究的是VTS多雷达目标融合技术。首先介绍了 VTS系统组成、VTS雷达工作原理、VTS雷达目标信息等;其次讨论了包括雷达数据预处理、航迹关联和航迹在内的多雷达目标融合的基本方法和步骤,分析了基于最小二乘法准则的插值拟合的时间对准方法;分析了多因素模糊关联算法和灰色关联度关联算法的优缺点及适用环境,采用多因素模糊和灰色关联度综合的关联算法;最后在分析最优加权与递推最小二乘法结合的融合算法基础上,改进成一种自适应加权融合算法。本文分别利用MATLAB对多雷达单目标和多雷达多目标的关联和融合算法进行仿真和结果分析。与单独使用多因素模糊关联算法相比较,多因素模糊和灰色关联度结合的关联算法明显提高了关联正确概率。而且在多目标的情况下,与单独使用灰色关联方法相比较,减小了关联范围。而本文的自适应融合算法的仿真结果证明了该算法可以降低算法的复杂度。最后采用Visual Studio 2008编程工具给出本文算法的软件实现,包括雷达数据的获取,数据库存储、数据预处理、关联算法和航迹融合算法等完整的编程设计,并采用实测数据进行实验验证,同时在电子海图上显示VTS多雷达目标融合后的图像。
[Abstract]:Vesse1 Traffic Services (VTS) has been widely used in maritime affairs department of our country in order to provide navigation aid service, traffic organization service, supervise ship dynamic effectively and reduce water traffic accident for ship traffic management system (VTS).Multi-source information fusion technology (also called multi-sensor data fusion technology) is one of the key technologies of VTS localization. VTS multi-source information fusion technology includes multi-radar target fusion and radar and AIS target fusion.This paper studies the VTS multi-radar target fusion technology.Firstly, the principle of VTS radar is introduced, then the basic methods and steps of multi-radar target fusion, including radar data preprocessing, track association and track fusion, are discussed.The time alignment method of interpolation fitting based on least square method is analyzed, and the advantages and disadvantages of multi-factor fuzzy correlation algorithm and grey correlation degree correlation algorithm are analyzed.Finally, an adaptive weighted fusion algorithm is improved on the basis of analyzing the fusion algorithm based on the combination of optimal weighting and recursive least square method.In this paper, MATLAB is used to simulate and analyze the correlation and fusion algorithms of multi-radar single target and multi-radar multi-target respectively.Compared with the multi-factor fuzzy correlation algorithm, the association algorithm with multi-factor fuzzy and grey correlation degree obviously improves the correct probability of association.In the case of multiple targets, the range of correlation is reduced compared with the grey correlation method alone.The simulation results of the adaptive fusion algorithm show that the algorithm can reduce the complexity of the algorithm.Finally, the software implementation of this algorithm is given by using Visual Studio 2008 programming tool, including radar data acquisition, database storage, data preprocessing, association algorithm and track fusion algorithm.At the same time, the fusion images of VTS multi-radar targets are displayed on the electronic chart.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U675.79;TN95

【相似文献】