摘要
提出了基于模糊聚类原理的多雷达与自动相关监视(Automatic Dependent Surveillance,ADS)数据融合的方法,该方法利用模糊C-均值聚类算法计算航迹关联的隶属度,通过直接将ADS的估计航迹作为聚类中心,避免了聚类划分的迭代运算,使算法十分方便,实验分析表明,该方法能够得到可靠的航迹关联性能。
The data fusion method of multi-radar and Automatic Dependent Surveillance(ADS) based on the principle of fuzzy clustering is given.The membership degree,on which the adaptive relation-detecting function is constructed,is calculated by fuzzy C-mean clustering algorithm.It treats tracks of ADS as the center of cluster and so avoids the iterations.It has also been shown by simulations that reliable associations of track-to-track could be obtained.
出处
《导弹与航天运载技术》
北大核心
2010年第6期57-60,共4页
Missiles and Space Vehicles
关键词
数据融合
自动相关监视
多雷达
Date fusion
Automatic dependent surveillance
Multi-radar