基于受损分形的子阵列诊断

P. Raiguru, M. Sahani, S. K. Rout, D. C. Panda, R. Mishra
{"title":"基于受损分形的子阵列诊断","authors":"P. Raiguru, M. Sahani, S. K. Rout, D. C. Panda, R. Mishra","doi":"10.1109/WAMS54719.2022.9848024","DOIUrl":null,"url":null,"abstract":"Sparse array has attracted a lot of attentions because of its higher DOF $O(N^{2})$ with only few physical elements ($N$). It has this property by imposing the difference co-array, which is defined as the difference between elements locations. However, empirically, the co-array of sparse arrays structure is vulnerable to impaired elements and reliability of sparse arrays is an open topic for investigation. In this context the present work examines fractal based sub-array DOA estimator. Broadly speaking, robustness is analyzed by exploiting element essentiality, fragility and normalized DCA size. Furthermore, the paper compares the robustness and size of difference co-array configurations of fractal based sub array with different existing sparse arrays. From the numerical examples, it is investigated that for the fixed $N$ elements, increase of difference co-array size typically cause in less robustness to element failure.","PeriodicalId":410781,"journal":{"name":"2022 IEEE Wireless Antenna and Microwave Symposium (WAMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impaired Fractal Based Sub-Array Diagnosis\",\"authors\":\"P. Raiguru, M. Sahani, S. K. Rout, D. C. Panda, R. Mishra\",\"doi\":\"10.1109/WAMS54719.2022.9848024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sparse array has attracted a lot of attentions because of its higher DOF $O(N^{2})$ with only few physical elements ($N$). It has this property by imposing the difference co-array, which is defined as the difference between elements locations. However, empirically, the co-array of sparse arrays structure is vulnerable to impaired elements and reliability of sparse arrays is an open topic for investigation. In this context the present work examines fractal based sub-array DOA estimator. Broadly speaking, robustness is analyzed by exploiting element essentiality, fragility and normalized DCA size. Furthermore, the paper compares the robustness and size of difference co-array configurations of fractal based sub array with different existing sparse arrays. From the numerical examples, it is investigated that for the fixed $N$ elements, increase of difference co-array size typically cause in less robustness to element failure.\",\"PeriodicalId\":410781,\"journal\":{\"name\":\"2022 IEEE Wireless Antenna and Microwave Symposium (WAMS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Wireless Antenna and Microwave Symposium (WAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WAMS54719.2022.9848024\",\"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 IEEE Wireless Antenna and Microwave Symposium (WAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAMS54719.2022.9848024","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

稀疏阵列以其具有较高的自由度$O(N^{2})$而只需要较少的物理元素$N$而受到了广泛的关注。它通过施加差异共阵(difference co-array)来具有这种特性,这被定义为元素位置之间的差异。然而,从经验上看,稀疏阵列结构的共阵容易受到受损元素的影响,稀疏阵列的可靠性是一个有待研究的开放性课题。在这种情况下,本工作研究了基于分形的子阵列DOA估计。一般来说,鲁棒性是通过利用元素的重要性、脆弱性和归一化DCA大小来分析的。此外,本文还比较了分形子阵与现有不同稀疏阵的不同共阵构型的鲁棒性和大小。通过数值算例研究了对于固定$N$单元,差分共阵大小的增大通常会导致单元失效时鲁棒性降低。
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
Impaired Fractal Based Sub-Array Diagnosis
Sparse array has attracted a lot of attentions because of its higher DOF $O(N^{2})$ with only few physical elements ($N$). It has this property by imposing the difference co-array, which is defined as the difference between elements locations. However, empirically, the co-array of sparse arrays structure is vulnerable to impaired elements and reliability of sparse arrays is an open topic for investigation. In this context the present work examines fractal based sub-array DOA estimator. Broadly speaking, robustness is analyzed by exploiting element essentiality, fragility and normalized DCA size. Furthermore, the paper compares the robustness and size of difference co-array configurations of fractal based sub array with different existing sparse arrays. From the numerical examples, it is investigated that for the fixed $N$ elements, increase of difference co-array size typically cause in less robustness to element failure.
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
Circularly Polarized Split Cylindrical Dielectric Antenna for Wireless Applications Analysis of Diverse MIMO Antennas For Fifth Generation Application: A Review Studies on CMOS Down-Converter with Double-Balanced Mixer along with Balun at S-Band Design and Simulation of Microstrip Antenna on High-Temperature Super Conductor and Copper Polarization and Angle Insensitive Fractal based Absorber for Multiband Application
×
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