Direction of Arrival Estimation Using a Small Circular Array

S. H. Huang, T.C. Yang
{"title":"Direction of Arrival Estimation Using a Small Circular Array","authors":"S. H. Huang, T.C. Yang","doi":"10.1109/OCEANSE.2019.8867135","DOIUrl":null,"url":null,"abstract":"Direction of arrival (DOA) is estimated for a small circular array with six elements and a radius of 0.0875 m using superdirective beamforming. It is well known that such an array has a wide beam width using conventional beamforming (CBF). CBF yields high sidelobe levels which cause the signal from one direction to leak into another direction. A superdirective beamforming method based on deconvolution (T. C. Yang, IEEE J. Oceanic Eng., 44, 156-166, 2019) has been shown to yield high bearing resolution, high directivity index or array gain, and strong interference rejection compared with CBF for an array of 16 elements, for which the beam pattern is shift-invariant. For a circular array of 6 element, the beam pattern is shift variant, a modified Richardson-Lucy deconvolution method is used.This paper presents the simulation results, and experimental test results in a tank. A small circular array can be used in principle to estimate the positions of neighboring node, and differentiate signals from different sources to avoid signal collisions in an underwater communication network.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2019 - Marseille","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSE.2019.8867135","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

Direction of arrival (DOA) is estimated for a small circular array with six elements and a radius of 0.0875 m using superdirective beamforming. It is well known that such an array has a wide beam width using conventional beamforming (CBF). CBF yields high sidelobe levels which cause the signal from one direction to leak into another direction. A superdirective beamforming method based on deconvolution (T. C. Yang, IEEE J. Oceanic Eng., 44, 156-166, 2019) has been shown to yield high bearing resolution, high directivity index or array gain, and strong interference rejection compared with CBF for an array of 16 elements, for which the beam pattern is shift-invariant. For a circular array of 6 element, the beam pattern is shift variant, a modified Richardson-Lucy deconvolution method is used.This paper presents the simulation results, and experimental test results in a tank. A small circular array can be used in principle to estimate the positions of neighboring node, and differentiate signals from different sources to avoid signal collisions in an underwater communication network.
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
基于小圆阵的到达方向估计
利用超指令波束形成技术对半径为0.0875 m的六元小型圆形阵列的到达方向(DOA)进行了估计。众所周知,这种阵列使用常规波束形成(CBF)具有宽波束宽度。CBF产生高旁瓣电平,导致信号从一个方向泄漏到另一个方向。一种基于反卷积的超指令波束形成方法[j]。与16元阵列的CBF相比,(波束方向图是位移不变的)已被证明具有高方位分辨率、高指向性指数或阵列增益,以及强抗干扰性。对于6元圆形阵列,波束方向图是移位的,采用了改进的Richardson-Lucy反褶积方法。本文给出了仿真结果和在某水箱中的试验结果。在水下通信网络中,原则上可以使用小型圆形阵列来估计相邻节点的位置,并区分不同来源的信号,避免信号碰撞。
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
A Data-driven Vessel Motion Model for Offshore Access Forecasting Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies Robust 3D Shape Classification Method using Simulated Multi View Sonar Images and Convolutional Nueral Network Weighted Grid Partitioning for Panel-Based Bathymetric SLAM Fishing Spot Detection Using Sea Water Temperature Pattern by Nonlinear Clustering
×
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