雷达信号二进制编码的次优序列

S. Gazovová, M. Babjak
{"title":"雷达信号二进制编码的次优序列","authors":"S. Gazovová, M. Babjak","doi":"10.23919/NTSP54843.2022.9920474","DOIUrl":null,"url":null,"abstract":"The performance of suboptimal sequences for binary encoding of radar signals with length 7 and 8 is described. It is shown that it is possible to find a set of sequences with good properties. Probability of correct range detection of selected sequences in presence of active noise jamming is described and it is compared with cases when Barker sequences is used for binary encoding of radar signals.","PeriodicalId":103310,"journal":{"name":"2022 New Trends in Signal Processing (NTSP)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Suboptimal Sequences for Binary Encoding of Radar Signals\",\"authors\":\"S. Gazovová, M. Babjak\",\"doi\":\"10.23919/NTSP54843.2022.9920474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance of suboptimal sequences for binary encoding of radar signals with length 7 and 8 is described. It is shown that it is possible to find a set of sequences with good properties. Probability of correct range detection of selected sequences in presence of active noise jamming is described and it is compared with cases when Barker sequences is used for binary encoding of radar signals.\",\"PeriodicalId\":103310,\"journal\":{\"name\":\"2022 New Trends in Signal Processing (NTSP)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 New Trends in Signal Processing (NTSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/NTSP54843.2022.9920474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 New Trends in Signal Processing (NTSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/NTSP54843.2022.9920474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

描述了长度为7和8的雷达信号二进制编码的次优序列的性能。结果表明,找到一组具有良好性质的序列是可能的。描述了在有源噪声干扰下所选序列正确距离检测的概率,并与利用巴克序列对雷达信号进行二值编码的情况进行了比较。
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
Suboptimal Sequences for Binary Encoding of Radar Signals
The performance of suboptimal sequences for binary encoding of radar signals with length 7 and 8 is described. It is shown that it is possible to find a set of sequences with good properties. Probability of correct range detection of selected sequences in presence of active noise jamming is described and it is compared with cases when Barker sequences is used for binary encoding of radar signals.
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
Software Tool for Pronunciation Training of Specific English Terminology Simulation and Measurement of Optical Networks 10 and 100 Gb/s Investigation of the Potential Influence of Wind Farms on the VHF Tactical Links Performance Malware Signatures Detection with Neural Networks Implementation of True Current Amplifiers via Commercial Integrated Circuits
×
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