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基于动力学模型的有源假目标鉴别方法
引用本文:赵艳丽,周颖,王雪松,罗佳,王国玉.基于动力学模型的有源假目标鉴别方法[J].国防科技大学学报,2007,29(5):60-65.
作者姓名:赵艳丽  周颖  王雪松  罗佳  王国玉
作者单位:国防科技大学,电子科学与工程学院,湖南,长沙,410073
基金项目:教育部全国优秀博士学位论文作者专项基金
摘    要:针对导弹防御中可能出现的有源假目标欺骗干扰,从雷达数据处理的层次上进行了真假目标鉴别研究。利用自由段有源假目标与实体目标在动力学模型上的本质差异,提出了动力学模型匹配系数的概念,推导出理想条件下的动力学模型匹配系数的解析表达式。在弹道目标跟踪的基础上设计了有源假目标鉴别算法。结合中程弹道,进行了真假目标鉴别的计算机仿真实验。实验结果表明,所提算法能有效鉴别有源假目标。

关 键 词:有源假目标  鉴别  动力学模型匹配系数  弹道目标跟踪
文章编号:1001-2486(2007)05-0060-06
收稿时间:3/8/2007 12:00:00 AM
修稿时间:2007年3月8日

Algorithm of Discriminating Active Decoys and Radar Target Based on the Dynamic Model
ZHAO Yanli,ZHOU Ying,WANG Xuesong,LUO Jia and WANG Guoyu.Algorithm of Discriminating Active Decoys and Radar Target Based on the Dynamic Model[J].Journal of National University of Defense Technology,2007,29(5):60-65.
Authors:ZHAO Yanli  ZHOU Ying  WANG Xuesong  LUO Jia and WANG Guoyu
Institution:1.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;2.Post Box 061, Luoyang 471003, China;1.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;1.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China;2.Post Box 061, Luoyang 471003, China
Abstract:The problem of discriminating active decoys and radar target was studied based on the radar data processing in the background of missile defense.On the basis of the essential difference of the dynamic model between those active decoys and the real target,the concept of dynamic model match coefficient was proposed.The analytic expression of the coefficient was presented without considering the radar measurement noise.The discrimination threshold was designed based on the radar tracking data.The computer simulation was carried out with the background of an intermediate range ballistic trajectory.The feasibility and validity of the proposed algorithm was verified by the simulation results.
Keywords:active decoy  discrimination  dynamic model match coefficient  ballistic target tracking
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