高频地波雷达与AIS点迹融合算法研究
发布时间：2018-07-23 11:13
【摘要】：海洋生态已经成为人类不可或缺的一部分,海洋经济也越来越受到各国的重视。与此同时,海洋安全成为了国防建设的重要环节。本文就海上监测设备高频地波雷达(High Frequency Surface Wave Radar, HFSWR)与船舶白识别系统(Automatic Identification System, AIS)的信息融合关联工作展开研究。首先,将HFSWR与AIS系统的探测数据作为研究对象；然后,对两种数据信息进行特征提取、数据预处理、滤波更新、点迹关联等处理；最后,通过处理结果得出目标的合作与非合作状态和其他相关信息。本文的研究目的是分析AIS与HFSWR所测数据,结合二者的优点得到信息互补,通过合适的点迹关联算法,实现对海上目标的实时跟踪和探测。通过信息融合减少重复跟踪,提高探测效率,重点关注非合作目标,保障海上安全。基于研究目的,本文研究的工作包括针对HFSWR与AIS两种数据信息的特点,提取两种数据的特征参数。由于两种信号源信号采集频率不同,在时间维度用线性插值法与外推预测法来实现时间校准。由于所处的坐标系不同,采用球面坐标系去实现空间统一。在数据预处理之后,利用相关分析统计法与粒子滤波概率数据滤波(PF-PDA)点迹关联融合,对海上目标进行状态评估。利用仿真环境与实时数据,验证两种算法的可行性与有效性。数据结果表明,算法具有一定的工程应用价值和可行性。
[Abstract]:Marine ecology has become an indispensable part of human beings, and marine economy has been paid more and more attention by various countries. At the same time, maritime security has become an important link in national defense construction. In this paper, the information fusion association between high frequency surface wave radar (HFSWR) and Automatic Identification system (AIS) is studied. First, the detection data of HFSWR and AIS system are taken as the research objects; then, the feature extraction, data preprocessing, filtering and updating, point trace correlation and other processing of the two kinds of data information are carried out. By processing the results, the goal of the state of cooperation and non-cooperation and other relevant information. The purpose of this paper is to analyze the data measured by AIS and HFSWR, and to obtain complementary information by combining the advantages of the two, and to realize the real-time tracking and detection of marine targets by appropriate point trace association algorithm. Through information fusion to reduce repeat tracking, improve detection efficiency, focus on non-cooperative targets, to ensure maritime security. For the purpose of research, the work of this paper includes extracting the characteristic parameters of HFSWR and AIS according to the characteristics of HFSWR and AIS. Due to the difference of signal acquisition frequency between the two sources, linear interpolation and extrapolation prediction are used to calibrate the time in time dimension. Because the coordinate system is different, the spherical coordinate system is used to realize the spatial unification. After data preprocessing, correlation analysis statistics and particle filter probabilistic data filtering (PF-PDA) correlation fusion are used to evaluate the state of marine targets. Simulation environment and real-time data are used to verify the feasibility and effectiveness of the two algorithms. The results show that the algorithm has certain engineering application value and feasibility.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN958
本文编号：2139223
[Abstract]:Marine ecology has become an indispensable part of human beings, and marine economy has been paid more and more attention by various countries. At the same time, maritime security has become an important link in national defense construction. In this paper, the information fusion association between high frequency surface wave radar (HFSWR) and Automatic Identification system (AIS) is studied. First, the detection data of HFSWR and AIS system are taken as the research objects; then, the feature extraction, data preprocessing, filtering and updating, point trace correlation and other processing of the two kinds of data information are carried out. By processing the results, the goal of the state of cooperation and non-cooperation and other relevant information. The purpose of this paper is to analyze the data measured by AIS and HFSWR, and to obtain complementary information by combining the advantages of the two, and to realize the real-time tracking and detection of marine targets by appropriate point trace association algorithm. Through information fusion to reduce repeat tracking, improve detection efficiency, focus on non-cooperative targets, to ensure maritime security. For the purpose of research, the work of this paper includes extracting the characteristic parameters of HFSWR and AIS according to the characteristics of HFSWR and AIS. Due to the difference of signal acquisition frequency between the two sources, linear interpolation and extrapolation prediction are used to calibrate the time in time dimension. Because the coordinate system is different, the spherical coordinate system is used to realize the spatial unification. After data preprocessing, correlation analysis statistics and particle filter probabilistic data filtering (PF-PDA) correlation fusion are used to evaluate the state of marine targets. Simulation environment and real-time data are used to verify the feasibility and effectiveness of the two algorithms. The results show that the algorithm has certain engineering application value and feasibility.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN958
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，本文编号：2139223
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