摘要
针对ESM与雷达的异类传感器航迹关联的准确性问题,提出了一种基于模糊聚类方法的异类传感器航迹关联算法。首先,将测得的航迹看作方位信息的时间序列,由不同航迹最终构成一个时间序列集合;再以当前时刻与历史时刻为模糊因子进行相似计算并得到模糊相似矩阵,并求得模糊等价矩阵;最后采用全局最优的判别准则确定航迹关联对,达到航迹关联的目的。仿真结果表明,基于模糊等价关系的异类传感器航迹关联算法能够有效提高ESM与雷达的航迹关联性能。
To cope with the accuracy of heterogeneous heterogeneous sensors track correlation algorithm based on target tracks are taken as the time series of bearing angle, sensors track correlation of ESM and radar, a fuzzy clustering is proposed. Firstly, all the then the consecutive moment is selected as the fuzzy factors and calculate the fuzzy similarity relationship between each pair. Secondly, the equivalent matrix is obtained from the fuzzy similarity relation. Finally, track correlation pairs are determined based on the fuzzy e equivalence relation. The simulation results show that the track correlation method based on the quivalency relations is effective with the high accuracy.
作者
李首庆
徐洋
LI Shou-qing XU Yang(Civil Aviation Flight University of China, Sichuan Guanghan 618307,China AFEU, Aeronautics and Astronautics Engineering College, Shaanxi Xi＇ an 710038, China)
出处
《现代防御技术》
北大核心
2017年第2期124-129,155,共7页
Modern Defence Technology
基金
中国民用航空飞行学院面上项目(J2015-1)
国家自然科学基金民航联合研究项目(U1433126)
关键词
异类传感器
航迹关联
模糊聚类
模糊因子
等价矩阵
模糊等价
heterogeneous sensors
track correlation
fuzzy clustering
fuzzy factor
equivalent ma-trix
fuzzy equivalency
