基于最小二乘拟合的多雷达非同步集成

Renyuan Zhang, Siyang Cao
{"title":"基于最小二乘拟合的多雷达非同步集成","authors":"Renyuan Zhang, Siyang Cao","doi":"10.1109/NAECON46414.2019.9058256","DOIUrl":null,"url":null,"abstract":"In this paper, the non-synchronized integration of multiple frequency-modulated continuous-wave (FMCW) radars is presented. A phase error deduction method on different non-synchronized radars using trust-region-reflective least squares algorithm is introduced. Better angle of arrival (AoA) estimation, better angular resolution and better side lobes deduction are realized in experimental result. Therefore, integrating multiple independent radar systems to emulate a large aperture is achieved.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-Synchronized Integration using Multiple Radars via Least Squares Fitting\",\"authors\":\"Renyuan Zhang, Siyang Cao\",\"doi\":\"10.1109/NAECON46414.2019.9058256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the non-synchronized integration of multiple frequency-modulated continuous-wave (FMCW) radars is presented. A phase error deduction method on different non-synchronized radars using trust-region-reflective least squares algorithm is introduced. Better angle of arrival (AoA) estimation, better angular resolution and better side lobes deduction are realized in experimental result. Therefore, integrating multiple independent radar systems to emulate a large aperture is achieved.\",\"PeriodicalId\":193529,\"journal\":{\"name\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"228 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON46414.2019.9058256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9058256","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

本文研究了多频调制连续波(FMCW)雷达的非同步积分。介绍了一种基于信任区域反射最小二乘算法的非同步雷达相位误差扣除方法。实验结果实现了较好的到达角估计、较好的角分辨率和较好的侧叶扣除。因此,集成多个独立的雷达系统来模拟大孔径是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Synchronized Integration using Multiple Radars via Least Squares Fitting
In this paper, the non-synchronized integration of multiple frequency-modulated continuous-wave (FMCW) radars is presented. A phase error deduction method on different non-synchronized radars using trust-region-reflective least squares algorithm is introduced. Better angle of arrival (AoA) estimation, better angular resolution and better side lobes deduction are realized in experimental result. Therefore, integrating multiple independent radar systems to emulate a large aperture is achieved.
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