| 一种改进的电子情报分析模型 |
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| 引用本文： | 张强,王红卫,陈游,徐源.一种改进的电子情报分析模型[J].火力与指挥控制,2016(11):124-128. |
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| 作者姓名： | 张强 王红卫 陈游 徐源 |
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| 作者单位： | 空军工程大学航空航天工程学院,西安,710038 |
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| 基金项目： | 陕西省自然科学基金(2012JQ8019)，航空科学基金资助项目(20145596025) |
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| 摘 要： | 电子情报的分析处理,对提高电子对抗作战效能意义重大。综合运用聚类算法和分类算法构建了一种改进的电子情报分析模型。该模型首先通过基于粗糙集改进的k-means算法完成对记录数据库中雷达信号的聚类分选,选取聚类中心信号表征此类信号;再采用粗糙集提取有效的最优规则并用于聚类中心脉冲识别,从而分选出已知信号和未知信号;未知信号确定其特性后添加到已知威胁雷达数据库。通过仿真,验证了该模型的适用性和有效性。
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| 关 键 词： | 电子对抗 电子情报 k-means算法 粗糙集 |
An Improved Analysis Model of Electronic Intelligence |
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| Abstract: | Analysis of electronic intelligence is important to increase the efficiency of ECM. Using a combination of clustering algorithm and sorting algorithm,an improved analysis model of electronic intelligence is established. First,this model completes the clustering of radar signals in record database by using improved k-means algorithm based on rough set,choosing the clustering centers to represent the radar signal clusters. Then,the model uses rough set to extract effective optimal rules to recognize clustering centers pulse recognition,thus to sort the known and unknown signals. Finally,the model ascertains the unknown signals'properties and add them to the known threat database. The simulation validates the model's feasibility and efficiency. |
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| Keywords: | electronic counter measure electronic intelligence k-means algorithm rough set |
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