摘要
利用电子支援措施(electronicsupportmeasure,ESM)和光学成像传感器等不同类型传感器进行目标综合识别,是现代综合电子战中的一个重要研究课题。提出了一种基于模糊集理论和D S证据理论的异类传感器目标综合识别算法,充分利用了电子侦察和光学成像侦察提供的独立、互补的信息,获得了对目标的有效识别。仿真结果证明了这种算法的有效性。
Target fusion identification, based on electronic support measure and optical imaging sensor, is an important research subject in modern electronic warfare system. A target fusion identification algorithm based on fuzzy set theory and D-S evidence theory is proposed. By employing information of electronic and optical reconnaissance, target identification is reliably completed. Simulation results prove this algorithm's effectiveness.\;
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第5期589-591,667,共4页
Systems Engineering and Electronics
基金
国防科技预研基金资助课题(2000J6 6 1 1KG01)
关键词
电子侦察
目标综合识别
模糊集理论
D-S证据理论
electronic reconnaissance
target fusion identification
fuzzy set theory
D-S evidence theory