Strong Single Frequency Jamming Detection Method based on Adaptive Equalization Coefficients

Yanhui Qi, Xiaolu Yan, Weican Meng, Qingju He, Guangluan Xu, Xiao Deng
{"title":"Strong Single Frequency Jamming Detection Method based on Adaptive Equalization Coefficients","authors":"Yanhui Qi, Xiaolu Yan, Weican Meng, Qingju He, Guangluan Xu, Xiao Deng","doi":"10.1088/1742-6596/2833/1/012003","DOIUrl":null,"url":null,"abstract":"Serious jamming effect on the communication signal maybe comes from the result of single-frequency jamming which could concentrate energy applying into the transmitted spectra. Usually, the communication signal is covered by the jamming effect. In order to effectively detect the existence of single frequency interference signal or not, the paper presents a frequency domain abnormal phenomena detection method based on adaptive equalization coefficients. The proposed method directly transforms the calculated equalization coefficients into the frequency domain. Then, the existence of strong single-frequency interference signals can be directly detected online by observing the characteristics of the frequency domain. The simulation results show that this method has a good detection effect on strong single frequency jamming. The research shows that the mentioned detection method and the related anomaly recognition technology based on equalization coefficients can be used for jamming detection, and can provide a new technical approach for jamming detection.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physics: Conference Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1742-6596/2833/1/012003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Serious jamming effect on the communication signal maybe comes from the result of single-frequency jamming which could concentrate energy applying into the transmitted spectra. Usually, the communication signal is covered by the jamming effect. In order to effectively detect the existence of single frequency interference signal or not, the paper presents a frequency domain abnormal phenomena detection method based on adaptive equalization coefficients. The proposed method directly transforms the calculated equalization coefficients into the frequency domain. Then, the existence of strong single-frequency interference signals can be directly detected online by observing the characteristics of the frequency domain. The simulation results show that this method has a good detection effect on strong single frequency jamming. The research shows that the mentioned detection method and the related anomaly recognition technology based on equalization coefficients can be used for jamming detection, and can provide a new technical approach for jamming detection.
基于自适应均衡系数的强单频干扰检测方法
对通信信号造成严重干扰的原因可能是单频干扰,这种干扰可将能量集中应用于传输频谱。通常情况下,通信信号会被干扰信号覆盖。为了有效检测是否存在单频干扰信号,本文提出了一种基于自适应均衡系数的频域异常现象检测方法。该方法直接将计算出的均衡系数转换到频域。然后,通过观察频域特征,可直接在线检测是否存在强单频干扰信号。仿真结果表明,该方法对强单频干扰具有良好的检测效果。研究表明,上述检测方法和基于均衡系数的相关异常识别技术可用于干扰检测,为干扰检测提供了一种新的技术手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
0
×
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