| 一种基于近类点和模糊点的未知雷达信号分选算法 |
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| 引用本文： | 张荣,杨秋,何佃伟,吴宏超.一种基于近类点和模糊点的未知雷达信号分选算法[J].舰船电子对抗,2011,34(5):12-14. |
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| 作者姓名： | 张荣 杨秋 何佃伟 吴宏超 |
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| 作者单位： | 空军航空大学,长春,130022 |
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| 摘 要： | 针对基于密度聚类（DBSCAN）算法不能发现雷达信号密度分布不均匀的缺陷,提出了一种基于近类点和模糊点的聚类方法。该方法利用同一部雷达数据的分布特性进行聚类,通过确定近类点和模糊点以达到分选不同密度分布的雷达信号,适用于未知雷达信号的分选。算法测试表明,该方法对噪声不敏感,能够发现任意形状、大小和密度的聚类。
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| 关 键 词： | 信号分选 聚类 阀值 近类点 模糊点 |
A Kind of Algorithm of Unknown Radar Signals Sorting Based on Close-category and Fuzzy Points |
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| ZHANG Rong,YANG Qiu,HE Dian-wei,WU Hong-chao.A Kind of Algorithm of Unknown Radar Signals Sorting Based on Close-category and Fuzzy Points[J].Shipboard Electronic Countermeasure,2011,34(5):12-14. |
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| Authors: | ZHANG Rong YANG Qiu HE Dian-wei WU Hong-chao |
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| Affiliation: | ZHANG Rong,YANG Qiu,HE Dian-wei,WU Hong-chao(Aviation University of Airforce,Changchun 130022,China) |
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| Abstract: | Aiming at the problem that the algorithm of density-based spatial clustering of applications with noise(DBSCAN) can not find the radar signal density distribution is not even,this paper presents a new clustering algorithm based on close-category and fuzzy points.This method performs clustering by means of the distribution characteristics of data in the same radar,through confirming close-category points and fuzzy points,it can sort the radar signals of different density distribution,which is adapted to sort... |
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| Keywords: | signal sorting clustering threshold close-category point fuzzy point |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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