在韩国使用基于数字电视的无源雷达进行雷达目标识别

Q2 Social Sciences
Young-Jae Choi, Seung-Hwan Seol, I. Choi
{"title":"在韩国使用基于数字电视的无源雷达进行雷达目标识别","authors":"Young-Jae Choi, Seung-Hwan Seol, I. Choi","doi":"10.1109/PIERS-FALL.2017.8293260","DOIUrl":null,"url":null,"abstract":"In this paper, we discuss a method for recognizing aircraft targets from a scattered field, which was measured using a digital television-based (DTV-based) passive radar. We combined scattered fields of coherent multiple channels to improve the range resolution of the range profile. We extracted scattering centers by using a gradient descent technique that uses a CLEAN algorithm. These scattering centers were classified using a support vector machine. To validate the proposed methods, we conducted a simulation at three operational stations in Korea. The results of the experiment show that the proposed methods have a better target recognition performance than the single-channel method.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"15 1","pages":"892-895"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Radar target identification using a DTV-based passive radar in South Korea\",\"authors\":\"Young-Jae Choi, Seung-Hwan Seol, I. Choi\",\"doi\":\"10.1109/PIERS-FALL.2017.8293260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we discuss a method for recognizing aircraft targets from a scattered field, which was measured using a digital television-based (DTV-based) passive radar. We combined scattered fields of coherent multiple channels to improve the range resolution of the range profile. We extracted scattering centers by using a gradient descent technique that uses a CLEAN algorithm. These scattering centers were classified using a support vector machine. To validate the proposed methods, we conducted a simulation at three operational stations in Korea. The results of the experiment show that the proposed methods have a better target recognition performance than the single-channel method.\",\"PeriodicalId\":39469,\"journal\":{\"name\":\"Advances in Engineering Education\",\"volume\":\"15 1\",\"pages\":\"892-895\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Engineering Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIERS-FALL.2017.8293260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIERS-FALL.2017.8293260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

摘要

本文讨论了一种利用数字电视无源雷达从散射场中识别飞机目标的方法。为了提高距离像的距离分辨率,我们将相干多通道的散射场进行组合。我们使用使用CLEAN算法的梯度下降技术提取散射中心。利用支持向量机对这些散射中心进行分类。为了验证所提出的方法,我们在韩国的三个操作站进行了模拟。实验结果表明,该方法比单通道方法具有更好的目标识别性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radar target identification using a DTV-based passive radar in South Korea
In this paper, we discuss a method for recognizing aircraft targets from a scattered field, which was measured using a digital television-based (DTV-based) passive radar. We combined scattered fields of coherent multiple channels to improve the range resolution of the range profile. We extracted scattering centers by using a gradient descent technique that uses a CLEAN algorithm. These scattering centers were classified using a support vector machine. To validate the proposed methods, we conducted a simulation at three operational stations in Korea. The results of the experiment show that the proposed methods have a better target recognition performance than the single-channel method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Advances in Engineering Education
Advances in Engineering Education Social Sciences-Education
CiteScore
2.90
自引率
0.00%
发文量
8
期刊介绍: The journal publishes articles on a wide variety of topics related to documented advances in engineering education practice. Topics may include but are not limited to innovations in course and curriculum design, teaching, and assessment both within and outside of the classroom that have led to improved student learning.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信