基于直觉模糊的双门限航迹关联算法

A Track Association Algorithm on Intutionistic Fuzzy Bi-threshold

为解决在密集目标环境和出现交叉航迹的情况下,航迹的统计关联方法关联正确概率降低,不能准确地对目标航迹进行正确相关的问题,根据传统的模糊双门限航迹关联方法,将非隶属度函数引入其中,提出了一种基于直觉模糊的双门限航迹关联算法。根据关联特点,确立了隶属度函数和非隶属度函数;利用蒙特卡洛仿真,对2部雷达观测的存在交叉的航迹进行关联,并与传统的模糊双门限航迹关联算法进行了对比,结果表明:在密集航迹情况下,该算法相比传统的模糊双门限航迹关联算法正确关联概率从45.1%提高至49.8%,该改进算法能够更好地适应密集航迹的关联。

In order to solve the low right track association probability of statistical association method under condition of dense target and cross track which fails to right associate to the target accurately, this paper proposes a track association algorithm on intutionistic fuzzy bi-threshold based on traditional track associa- tion using fuzzy bi-threshold through introduction of non-membership functions, and determines member- ship functions and non-membership functions in line with association peculiarity. Finally, the paper associ- ates the crossing tracks observed by two radars by utilizing Monte-Carlo simulation, and compares the fuzzy bi-threshold algorithm with the traditional track association algorithm.The results show that the cor- rect association probability is improved from 45.1% to 49.8% , and this indicstes that the algorithm is bet- ter in adapting to the association of intensive track.