CAJ | 학술논문

从多平台协同工作的角度出发，针对目标和传感器观测数据之间的关联问题进行了研究。给出了模糊聚类目标函数、FCM算法步骤和量测目标归属判定方法，基于此，提出了模糊C-均值聚类和量测目标归属判定算法，然后提出了基于聚类算法的多平台协同多目标数据关联算法。仿真实验结果表明，该算法数据关联正确率较高，能够提升跟踪精度。
종다평태협동공작적각도출발，침대목표화전감기관측수거지간적관련문제진행료연구。급출료모호취류목표함수、FCM산법보취화량측목표귀속판정방법，기우차，제출료모호C-균치취류화량측목표귀속판정산법，연후제출료기우취류산법적다평태협동다목표수거관련산법。방진실험결과표명，해산법수거관련정학솔교고，능구제승근종정도。
The problem of correlation between sensor measurement data and targets is studied from the point of view of multi-platform cooperation. The target function of fuzzy clustering, the steps of the FCM algorithm and the method of target affiliation determination are given. Based on these, the algorithm of fuzzy Cmean clustering and the target affiliation determination are presented. The multi-platform cooperative multi-target data association algorithm based on clustering algorithm(MCMDAA-CA) is then proposed.. Stimulation experiments validated that this algorithm can increase the correctness of data association,and therefore enhances the tracking accuracy.