现代防御技术2026，Vol.54Issue(2)：61-68,8.DOI:10.3969/j.issn.1009-086x.2026.02.005
基于证据理论的敌我识别目标关联方法
Target Association Method for IFF Based on Evidence Theory
闫善勇1
作者信息
- 1. 西南电子技术研究所,四川成都 610036
- 折叠
摘要
Abstract
To address the problem of association between IFF targets and radar targets in scenarios dense target scenarios,an association method based on evidence theory is proposed.A positional correlation model is established.Evidence and its basic probability assignment(BPA)are generated based on the azimuth and range measurement capabilities of the radar and IFF interrogator,as well as data from multiple measurements.Evidence derived from multiple measurements of the same target is combined using the Dempster rule to construct a combined evidence set.The association of all targets is completed sequentially based on a maximum value search within the combined evidence set.The simulation results demonstrate that,the proposed method achieves higher association accuracy than the nearest neighbor(NN)method at equivalent time complexity.Furthermore,compared to the Kuhn-Munkres(KM)algorithm,the proposed method achieves higher accuracy in most dense target scenarios with lower time complexity.关键词
目标关联/关联正确率/证据理论/基本概率指派/敌我识别/复杂场景Key words
target association/association accuracy/evidence theory/basic probability assignment/identification friend or foe/complex scenarios分类
信息技术与安全科学引用本文复制引用
闫善勇..基于证据理论的敌我识别目标关联方法[J].现代防御技术,2026,54(2):61-68,8.
