| 引用本文: | 王壮,郁文贤,庄钊文,等.基于运动状态和敌我属性的空中目标融合识别.[J].国防科技大学学报,2001,23(4):83-87.[点击复制] |
| WANG Zhuang,YU Wenxian,ZHUANG Zhaowen,et al.Air Target Fusion Identification Based on Kinematic State and Foe-Friend Attribute[J].Journal of National University of Defense Technology,2001,23(4):83-87[点击复制] |
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| 基于运动状态和敌我属性的空中目标融合识别 |
| 王壮, 郁文贤, 庄钊文, 胡卫东 |
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(国防科技大学 ATR重点实验室，湖南 长沙 410073)
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| 摘要: |
| 研究了基于实时跟踪器的空中目标航迹身份识别问题。从分析目标运动状态和敌我属性的不确定性出发，建立了空中目标身份统计模型；根据建立的模型，通过采用Dempster-Shafer证据理论方法，对空中目标进行融合识别。仿真实验结果证明了模型和算法的有效性。 |
| 关键词: 目标身份建模 D-S证据理论 融合识别 |
| DOI： |
| 投稿日期：2001-03-01 |
| 基金项目:国家部委基金资助(98.J6.6.2.KG0112)；国家部委项目资助(6.4.2.4) |
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| Air Target Fusion Identification Based on Kinematic State and Foe-Friend Attribute |
| WANG Zhuang, YU Wenxian, ZHUANG Zhaowen, HU Weidong |
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(ATR Key Lab, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| This paper considers the problem of air target track identification based on the real-time tracker in surveillance system.The air target identity statistical model is established by analyzing the uncertainty of kinematic state and our and the enemy's attributes.Dempster-Shafer method is applied to develop the air target fusion identification.The results of simulation experiment show the applicability and effectiveness of the model and the algorithm. |
| Keywords: target identity modeling D-S evidential theory fusion identification |
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