态势评估中的目标编群问题研究  

Study on Target Classification in Situation Assessment

作　　者：刘洁莉[1] 韩元杰[1] 董彦佼[1] 

机构地区：[1]桂林电子科技大学计算机与控制学院,广西桂林541004

出　　处：《电光与控制》2010年第1期26-29,共4页Electronics Optics & Control

摘　　要：目标编群是态势评估中需要解决的一个重要问题。首先建立了一种相似性测度模型,该模型通过对目标平台属性进行"乘运算"和"加运算"两方面的相似测度,因而对目标间的相似性能做出快速的判别,而且能更准确有效地判断目标对象间的相似性程度,加强目标辨别能力,降低错误编群的概率。在此基础上,给出了群递增形成算法,最后以一组数据验证了该算法可快速有效实现目标编群。Target classification is an important part in situation assessment. A model is built up for measuring the similarity between targets. By using ＂multiplication＂ and ＂adding＂ to target attributes, the model can determine the similarity between targets quickly, and also judge the degree of similarity between targets more accurately. Therefore, the capability of target identification is improved, and probability of error for target classification is reduced. On this basis, an increasing algorithm among groups is presented. Finally, a group of data verifies that the algorithm can realize target classification rapidly and effectively.

关 键 词：态势评估 目标编群 相似性测度 C4ISR 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]