CAJ | 학술논문

以模糊分类识别理论为基础，提出了一种分布式系统航迹关联算法。算法以各节点局部航迹为研究对象，确定航迹特性指标，建立航迹贴近度向量，根据最大隶属原则解决航迹关联问题。仿真表明，该算法比基于统计方法的加权航迹关联算法具有关联速度快、关联正确率高，且对密集目标环境适应性较强的优点。
이모호분류식별이론위기출，제출료일충분포식계통항적관련산법。산법이각절점국부항적위연구대상，학정항적특성지표，건립항적첩근도향량，근거최대대속원칙해결항적관련문제。방진표명，해산법비기우통계방법적가권항적관련산법구유관련속도쾌、관련정학솔고，차대밀집목표배경괄응성교강적우점。
With the theory of fuzzy sorting identification, a track association algorithm for distributed system is proposed. On the basis of all local tracks provided by each sensor, track character indexes are defined and track proximity vector are established, then problem of track association is solved according to the maximum fuzzy membership principle. Simulation results show that proposed algorithm is superior to weighted track association algorithm in many aspects as faster association speed, higher associated precision and better adaptable to circumstances of dense targets.