CAJ | 학술논문

为了提高海洋探测精度和范围，针对高频地波雷达(HFSWR)和自动识别系统(AIS)目标点迹的融合利用问题，该文提出一种基于 JVC(Jonker-Volgenant-Castanon)的点迹分状态全局最优关联算法。首先，通过判断高频地波雷达和 AIS 点迹的径向速度，将点迹分为准静态目标和动态目标。接着，选取径向速度和点迹间的球面距离为特征参数，对不同状态下目标点迹分别进行径向速度和位置间球面距离粗关联。最后，使用相对距离比的平均值进行关联效果的评价，通过选择合适的关联门限参数，使用JVC算法实现高频地波雷达和AIS的点迹最优关联。实验结果表明：该算法在关联相同点迹对数的情况下，关联精度高于最近邻(NN)算法和Munkres关联法，关联用时少于最近邻算法和Munkres关联法。通过近3年内3组不同时刻实测目标点迹的验证，该算法可以满足关联的实用性和实时性要求。
위료제고해양탐측정도화범위，침대고빈지파뢰체(HFSWR)화자동식별계통(AIS)목표점적적융합이용문제，해문제출일충기우 JVC(Jonker-Volgenant-Castanon)적점적분상태전국최우관련산법。수선，통과판단고빈지파뢰체화 AIS 점적적경향속도，장점적분위준정태목표화동태목표。접착，선취경향속도화점적간적구면거리위특정삼수，대불동상태하목표점적분별진행경향속도화위치간구면거리조관련。최후，사용상대거리비적평균치진행관련효과적평개，통과선택합괄적관련문한삼수，사용JVC산법실현고빈지파뢰체화AIS적점적최우관련。실험결과표명：해산법재관련상동점적대수적정황하，관련정도고우최근린(NN)산법화Munkres관련법，관련용시소우최근린산법화Munkres관련법。통과근3년내3조불동시각실측목표점적적험증，해산법가이만족관련적실용성화실시성요구。
In order to solve the problem that of High Frequency Surface Wave Radar (HFSWR) and Automatic Identification System (AIS) target point tracks fusion, a point tracks association algorithm using Jonker- Volgenant-Castanon (JVC) global optimal matching for different status is proposed. Firstly, the HFSWR and AIS target point tracks are divided into the quasi-static and dynamic data by the radial velocity. Then the radial velocity and spherical distance are selected as the feature parameters, and the different status data are respectively pre-associated by the radial velocity and spherical distance. Finally, the average of relative distance ratio is used to evaluate the effect of association. According to the selection of threshold parameter, the HFSWR and AIS point tracks are optimal associated with the JVC algorithm. The experimental results indicate that the proposed algorithm, in the condition of equal number point tracks associated, is superior to the Nearest Neighbor (NN) algorithm and Munkres association algorithm in the association accuracy, and the associate time is less than the NN algorithm and Munkres association. Moreover, three different time data gained from the target traits measured in nearly three years demonstrate that the feasibility and real-time of the proposed method.