使用符号化的脉冲重复间隔调制识别

Kyu-Ha Song, Dong-Weon Lee, Jin-Woo Han, Byung-Koo Park
{"title":"使用符号化的脉冲重复间隔调制识别","authors":"Kyu-Ha Song, Dong-Weon Lee, Jin-Woo Han, Byung-Koo Park","doi":"10.1109/DICTA.2010.96","DOIUrl":null,"url":null,"abstract":"Information on the pulse repetition interval (PRI) modulation of a radar signal plays an important role in detecting and identifying each radar signal in an electronic warfare support (ES) system. In this paper, we present a new method for recognizing the PRI modulation type of a radar signal using symbolization. The proposed method uses three key feature parameters extracted from symbol sequences in order to discriminate each PRI modulation type. The recognition capability of the method presented is verified through extensive simulations.","PeriodicalId":246460,"journal":{"name":"2010 International Conference on Digital Image Computing: Techniques and Applications","volume":"276 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Pulse Repetition Interval Modulation Recognition Using Symbolization\",\"authors\":\"Kyu-Ha Song, Dong-Weon Lee, Jin-Woo Han, Byung-Koo Park\",\"doi\":\"10.1109/DICTA.2010.96\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Information on the pulse repetition interval (PRI) modulation of a radar signal plays an important role in detecting and identifying each radar signal in an electronic warfare support (ES) system. In this paper, we present a new method for recognizing the PRI modulation type of a radar signal using symbolization. The proposed method uses three key feature parameters extracted from symbol sequences in order to discriminate each PRI modulation type. The recognition capability of the method presented is verified through extensive simulations.\",\"PeriodicalId\":246460,\"journal\":{\"name\":\"2010 International Conference on Digital Image Computing: Techniques and Applications\",\"volume\":\"276 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Digital Image Computing: Techniques and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DICTA.2010.96\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Digital Image Computing: Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DICTA.2010.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

在电子战保障(ES)系统中,雷达信号的脉冲重复间隔(PRI)调制信息在探测和识别每个雷达信号中起着重要作用。本文提出了一种利用符号化识别雷达信号PRI调制类型的新方法。该方法使用从符号序列中提取的三个关键特征参数来区分每种PRI调制类型。通过大量的仿真验证了该方法的识别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Pulse Repetition Interval Modulation Recognition Using Symbolization
Information on the pulse repetition interval (PRI) modulation of a radar signal plays an important role in detecting and identifying each radar signal in an electronic warfare support (ES) system. In this paper, we present a new method for recognizing the PRI modulation type of a radar signal using symbolization. The proposed method uses three key feature parameters extracted from symbol sequences in order to discriminate each PRI modulation type. The recognition capability of the method presented is verified through extensive simulations.
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
自引率
0.00%
发文量
0
期刊最新文献
Pulse Repetition Interval Modulation Recognition Using Symbolization Vessel Segmentation from Color Retinal Images with Varying Contrast and Central Reflex Properties A Novel Algorithm for Text Detection and Localization in Natural Scene Images Image Retrieval with a Visual Thesaurus Chromosome Classification Based on Wavelet Neural Network
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1