基于结构最小二乘的关节角和多普勒估计的改进传播子方法

Likai Guo, Ying Wu
{"title":"基于结构最小二乘的关节角和多普勒估计的改进传播子方法","authors":"Likai Guo, Ying Wu","doi":"10.1109/ICCSN.2016.7586625","DOIUrl":null,"url":null,"abstract":"A new propagator method for joint angle and Doppler estimation based on structured least squares (SLS) is proposed. By defining a new propagator matrix the proposed approach reduces the loss of array aperture. In addition, SLS which will take the specific relationship between two parts of the equation into account is utilized to enhance the estimation performance when solving the rotational invariance matrix equations. Simulation results are provided verifying the effectiveness of the proposed method.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved propagator method for joint angle and Doppler estimation based on structured least squares\",\"authors\":\"Likai Guo, Ying Wu\",\"doi\":\"10.1109/ICCSN.2016.7586625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new propagator method for joint angle and Doppler estimation based on structured least squares (SLS) is proposed. By defining a new propagator matrix the proposed approach reduces the loss of array aperture. In addition, SLS which will take the specific relationship between two parts of the equation into account is utilized to enhance the estimation performance when solving the rotational invariance matrix equations. Simulation results are provided verifying the effectiveness of the proposed method.\",\"PeriodicalId\":158877,\"journal\":{\"name\":\"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2016.7586625\",\"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 8th IEEE International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2016.7586625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

提出了一种基于结构最小二乘(SLS)的联合角和多普勒估计的传播子方法。该方法通过定义一个新的传播矩阵来减小阵列孔径的损耗。此外,在求解旋转不变性矩阵方程时,利用考虑方程两部分之间特定关系的SLS算法提高了估计性能。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved propagator method for joint angle and Doppler estimation based on structured least squares
A new propagator method for joint angle and Doppler estimation based on structured least squares (SLS) is proposed. By defining a new propagator matrix the proposed approach reduces the loss of array aperture. In addition, SLS which will take the specific relationship between two parts of the equation into account is utilized to enhance the estimation performance when solving the rotational invariance matrix equations. Simulation results are provided verifying the effectiveness of the proposed method.
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