An free of iteration array-error estimation method for multi-channel SAR systems*

Lun Ma
{"title":"An free of iteration array-error estimation method for multi-channel SAR systems*","authors":"Lun Ma","doi":"10.1109/UCET.2019.8881869","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of estimating gain-phase and position errors for multi-channel synthetic aperture radar (SAR) systems. In multi-channel SAR systems, the clutter spectrum components within a Doppler bin can be used as calibration sources with known directions. Conventional eigen-structure methods, which iterates alternatively between the self-calibration method for gain-phase error estimation and the least squares method for estimating position errors, may converge to a local optimal solution. In this paper, it is observed that the steering vectors corresponding to a pair of Doppler bins within the same range bin have a rotational relationship. We obtain a new array-error estimation method based on this observation. The method, which obtain the position errors in terms of extracting the rotational matrix in a least square's framework, is proposed via combining the projection matrices corresponding to the paired Doppler bins. The validity of the proposed method is verified by the experimental results of measured four-channel SAR data.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 UK/ China Emerging Technologies (UCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCET.2019.8881869","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

This paper considers the problem of estimating gain-phase and position errors for multi-channel synthetic aperture radar (SAR) systems. In multi-channel SAR systems, the clutter spectrum components within a Doppler bin can be used as calibration sources with known directions. Conventional eigen-structure methods, which iterates alternatively between the self-calibration method for gain-phase error estimation and the least squares method for estimating position errors, may converge to a local optimal solution. In this paper, it is observed that the steering vectors corresponding to a pair of Doppler bins within the same range bin have a rotational relationship. We obtain a new array-error estimation method based on this observation. The method, which obtain the position errors in terms of extracting the rotational matrix in a least square's framework, is proposed via combining the projection matrices corresponding to the paired Doppler bins. The validity of the proposed method is verified by the experimental results of measured four-channel SAR data.
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
多通道SAR系统的无迭代阵列误差估计方法*
研究了多通道合成孔径雷达系统的增益相位和位置误差估计问题。在多通道SAR系统中,多普勒波束内的杂波分量可以作为已知方向的定标源。传统的特征结构方法在增益相位误差估计的自校准方法和位置误差估计的最小二乘法之间交替迭代,可能收敛到局部最优解。本文观察到,同一距离内一对多普勒箱对应的转向矢量具有旋转关系。在此基础上,我们得到了一种新的阵列误差估计方法。该方法通过组合成对多普勒箱对应的投影矩阵,在最小二乘框架下提取旋转矩阵来获取位置误差。四通道SAR实测数据的实验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。
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
Design and Implementation of a 3D Printed Sensory Ball for Wireless Water Flow Monitoring Intrusion Detection through Leaky Wave Cable in Conjunction with Channel State Information A Miniaturized Wide Band Implantable Antenna for Biomedical Application ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FpgaSystems
×
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