摘要
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。
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.
出处
《电子信息对抗技术》
2011年第5期14-18,共5页
Electronic Information Warfare Technology
关键词
分类识别
航迹关联
航迹贴近度
sorting identification
track association
track proximity
