| 雷达天线扫描方式的自动识别方法 |
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| 引用本文： | 李程,王伟,施龙飞,王雪松.雷达天线扫描方式的自动识别方法[J].国防科技大学学报,2014,36(3):156-163. |
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| 作者姓名： | 李程 王伟 施龙飞 王雪松 |
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| 作者单位： | 国防科学技术大学 电子信息系统复杂电磁环境效应国家重点实验室,国防科学技术大学 电子信息系统复杂电磁环境效应国家重点实验室,国防科学技术大学 电子信息系统复杂电磁环境效应国家重点实验室,国防科学技术大学 电子信息系统复杂电磁环境效应国家重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目（61201336，41301490）；国家863计划资助项目 |
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| 摘 要： | 为了对雷达天线扫描方式进行自动识别,改进开发了天线扫描方式模拟器,并分别研究了电子扫描和机械扫描的特征提取和识别方法。基于最大主瓣脉冲序列的特征参数实现电子扫描和机械扫描的区分,然后基于单个天线扫描周期脉冲序列的特征参数实现8种机械扫描方式的自动识别。仿真结果表明,本文方法能够区分一维电扫、二维电扫和机械扫描,并且采用支持向量机决策树对机械扫描方式的识别正确率高于决策树方法。
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| 关 键 词： | 天线扫描方式 自动识别 电子扫描 机械扫描 支持向量机决策树 |
| 收稿时间： | 2013/10/24 0:00:00 |
Automatic recognition method of radar antenna scan type |
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| LI Cheng,WANG Wei,SHI Longfei and WANG Xuesong.Automatic recognition method of radar antenna scan type[J].Journal of National University of Defense Technology,2014,36(3):156-163. |
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| Authors: | LI Cheng WANG Wei SHI Longfei and WANG Xuesong |
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| Institution: | State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China;State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China;State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China;State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | In order to recognize radar antenna scan type (AST) automatically, an improved antenna scan pattern simulator is developed in this paper, and features extraction and automatic recognition methods for electronic scan type (EST) and mechanical scan type (MST) are studied respectively. EST is firstly distinguished from MST based on the characteristic parameters extracted from the maximum main beam pulse sequence; then 8 MSTs are automatically recognized based on the parameters extracted from the pulse sequence in a scan period. The simulation results show that it is able to distinguish between one-dimensional EST, two-dimensional EST and MSTs by this method. Moreover, the correct recognition ratio of MSTs by support vector machine decision tree (SVMDT) in this paper is higher than that by decision tree (DT). |
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| Keywords: | antenna scan type (AST) automatic recognition electronic scan type (EST) mechanical scan type (MST) support vector machine decision tree (SVMDT) |
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