CAJ | 학술논문

为提高多目标密集环境下 AIS 与雷达探测目标关联正确率，将多因素模糊判断和灰色关联度进行结合，提出一种新型关联算法。该算法将目标航迹看作四个因素的时间序列。首先利用多因素模糊判断对四个因素的时间序列集合进行初步关联判断，然后对满足初步关联条件的目标进行四个因素的灰色关联度决策，确定最终航迹相关的目标。仿真证明，该算法相较于单独使用多因素模糊判断，有效提高了关联正确率；相较于单独使用灰色关联度算法，有效缩小了关联范围。
위제고다목표밀집배경하 AIS 여뢰체탐측목표관련정학솔，장다인소모호판단화회색관련도진행결합，제출일충신형관련산법。해산법장목표항적간작사개인소적시간서렬。수선이용다인소모호판단대사개인소적시간서렬집합진행초보관련판단，연후대만족초보관련조건적목표진행사개인소적회색관련도결책，학정최종항적상관적목표。방진증명，해산법상교우단독사용다인소모호판단，유효제고료관련정학솔；상교우단독사용회색관련도산법，유효축소료관련범위。
This paper proposes a data correlation algorithm based on multi-factor fuzzy judgment and gray correlation analysis , in order to improve the correlation correct rate between AIS and radar target. The target track is formatted into a sequence of four factors in this algorithm. Multi-factor fuzzy judgment based on four factors is used to make preliminary. Then gray correlation analysis is made, if the target satisfies the preliminary conditions associated with four factors, and finally the track correlation target is ascertained. Compared to multi-factor fuzzy judgment, simulation results show that the algorithm can effectively improve the correct rate of correlation, and compared to gray correlation analysis, effectively reduce the range of track correlation.