CAJ | 학술논문

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。
위해결재밀집목표배경화출현교차항적적정황하，항적적통계관련방법관련정학개솔강저，불능준학지대목표항적진행정학상관적문제，근거전통적모호쌍문한항적관련방법，장비대속도함수인입기중，제출료일충기우직각모호적쌍문한항적관련산법。근거관련특점，학립료대속도함수화비대속도함수；이용몽특잡락방진，대2부뢰체관측적존재교차적항적진행관련，병여전통적모호쌍문한항적관련산법진행료대비，결과표명：재밀집항적정황하，해산법상비전통적모호쌍문한항적관련산법정학관련개솔종45.1%제고지49.8%，해개진산법능구경호지괄응밀집항적적관련。
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.