Robust adaptive wideband constant beamwidth digital beamforming based on spatial response variation constraint.

Yao Li, Wendong Li, Xingchen Lu
{"title":"Robust adaptive wideband constant beamwidth digital beamforming based on spatial response variation constraint.","authors":"Yao Li, Wendong Li, Xingchen Lu","doi":"10.1117/12.2639109","DOIUrl":null,"url":null,"abstract":"In order to solve the problem that the main flap beam of the conventional adaptive beam forming algorithm cannot correctly point to the desired signal direction of the target under the array error, a robust adaptive broadband constant beamwidth digital beamforming method based on spatial response variation constraint is proposed. Firstly, the beamformer with constant beamwidth based on spatial response variation constraints have been designed. Secondly, for the array error, the relationship between the error vector norm between the real steering vector and the assumed steering vector and the array error matrix is derived, and an inequality optimization model is established. Finally, the proposed method is a non-convex problem, which is transformed into a convex programming model through matrix decomposition and the idea of changing elements, and is solved by the convex optimization toolbox. The simulation results show that the proposed method is more robust than some other methods.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks, Information and Communication Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2639109","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

In order to solve the problem that the main flap beam of the conventional adaptive beam forming algorithm cannot correctly point to the desired signal direction of the target under the array error, a robust adaptive broadband constant beamwidth digital beamforming method based on spatial response variation constraint is proposed. Firstly, the beamformer with constant beamwidth based on spatial response variation constraints have been designed. Secondly, for the array error, the relationship between the error vector norm between the real steering vector and the assumed steering vector and the array error matrix is derived, and an inequality optimization model is established. Finally, the proposed method is a non-convex problem, which is transformed into a convex programming model through matrix decomposition and the idea of changing elements, and is solved by the convex optimization toolbox. The simulation results show that the proposed method is more robust than some other methods.
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
基于空间响应变化约束的鲁棒自适应宽带等波束宽度数字波束形成。
为了解决传统自适应波束形成算法的主襟翼波束在阵列误差下不能正确指向目标期望信号方向的问题,提出了一种基于空间响应变异约束的鲁棒自适应宽带等波束宽度数字波束形成方法。首先,设计了基于空间响应变化约束的恒波束宽度波束形成器。其次,针对阵列误差,推导了实际转向向量与假设转向向量之间的误差向量范数与阵列误差矩阵之间的关系,并建立了不等式优化模型;最后,该方法是一个非凸问题,通过矩阵分解和变元思想将其转化为凸规划模型,并利用凸优化工具箱进行求解。仿真结果表明,该方法具有较强的鲁棒性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improve vulnerability prediction performance using self-attention mechanism and convolutional neural network Design of digital pulse-position modulation system based on minimum distance method Design of an externally adjustable oscillator circuit Research on non-intrusive video capture technology based on FPD-linkⅢ The communication process of digital binary pulse-position modulation with additive white Gaussian noise
×
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