基于突变搜索人工蜂群算法的无线系统智能抗干扰决策方法

Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang
{"title":"基于突变搜索人工蜂群算法的无线系统智能抗干扰决策方法","authors":"Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang","doi":"10.1109/USNC-URSI.2019.8861785","DOIUrl":null,"url":null,"abstract":"Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.","PeriodicalId":383603,"journal":{"name":"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Intelligent Anti-Jamming Decision Method Based on the Mutation Search Artificial Bee Colony Algorithm for Wireless Systems\",\"authors\":\"Fang Ye, Zitao Zhou, Hongbo Tian, Qian Sun, Yibing Li, T. Jiang\",\"doi\":\"10.1109/USNC-URSI.2019.8861785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.\",\"PeriodicalId\":383603,\"journal\":{\"name\":\"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USNC-URSI.2019.8861785\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USNC-URSI.2019.8861785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

由于电磁环境的复杂性,无线系统容易受到各种干扰攻击。与传统的单域抗干扰技术相比,多域智能抗干扰决策具有更大的灵活性,受到了越来越多的关注。然而,决策算法的决策速度和鲁棒性较差,导致在巨大的决策空间中存在非最优通信方案。提出了一种基于突变搜索人工蜂群算法(MSABC)的抗干扰决策方法。数值研究表明,该算法能够在保持归一化速率的同时降低归一化发射功率,找到较好的通信方案。
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
Intelligent Anti-Jamming Decision Method Based on the Mutation Search Artificial Bee Colony Algorithm for Wireless Systems
Wireless systems are vulnerable to various kinds of jamming attacks due to the development of complexity of electromagnetic environment. Intelligent anti-jamming decision for multi-domain, which is more flexible than traditional single-domain technique, has attracted much more attention. However, poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space. An anti-jamming decision method based on the mutation search artificial bee colony algorithm (MSABC) is proposed in this paper. Numerical investigations show that the proposed algorithm can find a better communication scheme that reduces the normalized transmitting power while maintaining the normalized rate.
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
Influence of External Cables on EM Exposure Investigated with a Human Model in a 3T MRI Coil Optimal Coil Design for Maximum Power Transfer Efficiency in Resonantly Coupled Systems Numerical Analysis of AIMD Lead Tolerances Using the Lead Electromagnetic Model Estimating the Depth of Buried Radioactive Sources using Ground Penetrating Radar and a Gamma Ray Detector User Proximity Analysis of Compact PIFA for MIMO Applications
×
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