摘要
运用现代数学中的综合分析法,可以得出模糊相似性测度数据关联算法。仿真结果表明,模糊数据关联算法比较适用于密集目标环境或交叉、分岔及机动目标较多的场合,其处理速度较快、存储和通信量则要求较低,并且具有较好的关联效果,是一类具有应用前景的数据关联算法。
We can get fussy similarity data correlation by using general analysis in modern mathematics. The simulation indicates that the algorithm is suitable for dense, crossed and mobile targets;It is not only fast in processing targets, but also is not critical for store and communication, it has preferable correlation results. The algorithm is potential for track correlation.
出处
《弹箭与制导学报》
CSCD
北大核心
2007年第2期385-388,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
模糊逻辑
相似度
数据关联
综合函数
fussy logics similarity
data correlation
general function
