摘要
针对新的作战需求和目标特性赋予了无人飞行器多源信息融合技术新的挑战,开展了无人飞行器多源信息融合技术和典型应用两个方向的研究,全面地总结了近几年无人飞行器的多源信息融合技术的发展概况,整理了信息融合技术中的数据预处理、态势估计、属性融合、态势感知的几种典型算法的研究进展,为相关领域研究提供了参考信息。
Aiming at the new challenges confronted by the new operational requirements and target characteristics of UAV multi-source information fusion technology,the multi-source information fusion technology and typical applications of unmanned aerial vehicles(UAVs)are studied,and the development of the multi-source information fusion technology of UAVs in recent years is summarized comprehensively.In particular,the research progress of several typical algorithms,such as preprocessing,situation estimation,attribute fusion and situation awareness in information fusion technology is sorted out,which provides important reference information for the research of related fields.
作者
王激扬
张航
宋闯
易华
Wang Jiyang;Zhang Hang;Song Chuang;Yi Hua(Military Representative Bureau of Naval Equipment Department in Beijing,Beijing 100073,China;Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory,Beijing Electro-mechanical Engineering Institute,Beijing 100074,China)
出处
《战术导弹技术》
北大核心
2019年第2期106-112,共7页
Tactical Missile Technology
基金
国防基础科研计划资助(JCKY2017204B064)
关键词
信息融合技术
无人飞行器
属性融合
态势感知
制导控制
information fusion
unmanned aerial vehicle
attribute fusion
situation awareness
guidance and control
作者简介
王激扬,高级工程师.
