多载波MIMO雷达:改进DOA估计的稀疏阵列概念

Michael Ulrich, Bin Yang
{"title":"多载波MIMO雷达:改进DOA估计的稀疏阵列概念","authors":"Michael Ulrich, Bin Yang","doi":"10.1109/RADAR.2016.7485156","DOIUrl":null,"url":null,"abstract":"In this paper we propose a multi-carrier (MC) based sparse array for improved direction-of-arrival (DOA) estimation. We use a spatial (physical or virtual) array of a small number of antennas, but with a large aperture to achieve a high DOA estimation accuracy. The resulting problem of grating lobes (spatial aliasing) is addressed by using multiple carrier frequencies. In contrast to the single-carrier case, by a suitable choice of multiple carrier frequencies the resulting antenna position-to-wavelength ratios can be used to satisfy the spatial anti-aliasing condition. We present such design rules in this paper. A new problem, however, is that a target range results in different phase changes for different carriers. This is the MC range-DOA coupling. We both discuss the joint range-DOA deterministic maximum likelihood estimation and a simplified DOA estimation algorithm with range elimination. Their performance in simulations are compared to the Cramer-Rao bound.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"90 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Multi-carrier MIMO radar: A concept of sparse array for improved DOA estimation\",\"authors\":\"Michael Ulrich, Bin Yang\",\"doi\":\"10.1109/RADAR.2016.7485156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a multi-carrier (MC) based sparse array for improved direction-of-arrival (DOA) estimation. We use a spatial (physical or virtual) array of a small number of antennas, but with a large aperture to achieve a high DOA estimation accuracy. The resulting problem of grating lobes (spatial aliasing) is addressed by using multiple carrier frequencies. In contrast to the single-carrier case, by a suitable choice of multiple carrier frequencies the resulting antenna position-to-wavelength ratios can be used to satisfy the spatial anti-aliasing condition. We present such design rules in this paper. A new problem, however, is that a target range results in different phase changes for different carriers. This is the MC range-DOA coupling. We both discuss the joint range-DOA deterministic maximum likelihood estimation and a simplified DOA estimation algorithm with range elimination. Their performance in simulations are compared to the Cramer-Rao bound.\",\"PeriodicalId\":185932,\"journal\":{\"name\":\"2016 IEEE Radar Conference (RadarConf)\",\"volume\":\"90 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Radar Conference (RadarConf)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.7485156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Radar Conference (RadarConf)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.7485156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

本文提出了一种基于多载波(MC)的稀疏阵列来改进到达方向(DOA)估计。我们使用一个空间(物理或虚拟)阵列的天线数量少,但具有较大的孔径,以达到较高的DOA估计精度。利用多载波频率解决了由此产生的光栅瓣(空间混叠)问题。与单载波情况相反,通过选择合适的多载波频率,可以使用得到的天线位置波长比来满足空间抗混叠条件。我们在本文中提出了这样的设计规则。然而,一个新的问题是,目标距离导致不同载波的相位变化不同。这是MC范围-方位耦合。讨论了联合距离-DOA确定性极大似然估计和一种带距离消去的简化DOA估计算法。并将它们在仿真中的性能与Cramer-Rao边界进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-carrier MIMO radar: A concept of sparse array for improved DOA estimation
In this paper we propose a multi-carrier (MC) based sparse array for improved direction-of-arrival (DOA) estimation. We use a spatial (physical or virtual) array of a small number of antennas, but with a large aperture to achieve a high DOA estimation accuracy. The resulting problem of grating lobes (spatial aliasing) is addressed by using multiple carrier frequencies. In contrast to the single-carrier case, by a suitable choice of multiple carrier frequencies the resulting antenna position-to-wavelength ratios can be used to satisfy the spatial anti-aliasing condition. We present such design rules in this paper. A new problem, however, is that a target range results in different phase changes for different carriers. This is the MC range-DOA coupling. We both discuss the joint range-DOA deterministic maximum likelihood estimation and a simplified DOA estimation algorithm with range elimination. Their performance in simulations are compared to the Cramer-Rao bound.
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
×
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