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一种基于聚类思想的目标识别新方法 被引量:4

Target Identification Based on Clustering
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摘要 为对地空导弹将要拦截的目标进行识别,以雷达站目标库中所存在的目标为基础,根据雷达所测得的目标属性,在综合因素的基础上利用聚类思想给出一种目标识别的方法,并通过实例初步验证了该方法的可行性,为防空作战决策提供科学依据。 An identification method of the target to be intercepted by a ground - to - air missile is discussed in this paper. The main idea contains every existent target in the target collection, establishment of synthesizing many factors from the radar. Through the sequencing model of the Clustering, the type of target would be decided for air - defense operational decision - making in the missile weapon system. Finally, a numerical example is given to show the rationality and effectiveness of the model.
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2006年第2期29-31,共3页 Journal of Air Force Engineering University(Natural Science Edition)
基金 国家航空科学基金资助项目(01130011)
关键词 聚类 目标识别 多因素决策 Clustering target identification multi - attribute decision - making
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