Institutional Repository of Computer Application Research Laboratory
RFI抑制技术在射电天文中的应用 | |
Alternative Title | Application of RFI Mitigation Technology in Radio Astronomy |
张海龙1,2,3,4![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | |
2022-11-01 | |
Source Publication | 天文研究与技术
![]() |
ISSN | 1672-7673 |
Volume | 19Issue:6Pages:613-625 |
Contribution Rank | 1 |
Abstract | 针对射电天文观测过程中的射频干扰(RFI)问题,详细分析了国内外台站RFI抑制策略。根据各天文台站实际观测过程中遇到的RFI问题,分别从主动预防阶段、预相关阶段、后相关阶段、机器学习和深度学习等方面研究了RFI的预防策略和抑制方法。详细分析了主动预防阶段可采取的方法,预相关阶段的自适应滤波,和空间滤波方法;后相关阶段的VarThreshold,SumThreshold和奇异值分解等方法。探讨了基于机器学习的主成分分析、支持向量机、全卷积神经网络、卷积神经网络、U-Net等相关技术和方法在RFI信号处理方面的应用。 |
Other Abstract | Aiming at the problem of Radio Frequency Interference (RFI) in the process of radio astronomy observation,the RFI mitigation strategies of domestic and foreign stations are analyzed in detail.According to the RFI problems encountered in the actual observation process of each observatory,the prevention strategies and mitigation methods of RFI are studied from the aspects of active prevention stage,pre-correlation stage,post-correlation stage,machine learning and deep learning.The methods that can be adopted in the active prevention stage,adaptive filtering in the pre-correlation stage,spatial filtering method,VarThreshold,SumThreshold and singular value decomposition in the post correlation stage are systematically analyzed.The applications of principal component analysis based on machine learning,support vector machine,full convolution neural network,convolution neural network,U-Net and other related technologies and methods in RFI signal processing are discussed. |
Keyword | RFI 滤波 阈值法 机器学习 |
DOI | 10.14005/j.cnki.issn1672-7673.20220415.002 |
URL | 查看原文 |
Indexed By | CSCD |
Language | 中文 |
CSCD ID | CSCD:7347477 |
Citation statistics |
Cited Times:4[CSCD]
[CSCD Record]
|
Document Type | 期刊论文 |
Identifier | http://ir.xao.ac.cn/handle/45760611-7/5111 |
Collection | 计算机技术应用研究室 110米口径全可动射电望远镜(QTT)_技术成果 |
Corresponding Author | 张海龙 |
Affiliation | 1.中国科学院新疆天文台,新疆乌鲁木齐830011; 2.中国科学院大学,北京100049; 3.中国科学院射电天文重点实验室,江苏南京210033; 4.国家天文科学数据中心,北京100101 |
First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
Corresponding Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | 张海龙,张亚州,王杰,等. RFI抑制技术在射电天文中的应用[J]. 天文研究与技术,2022,19(6):613-625. |
APA | 张海龙.,张亚州.,王杰.,冶鑫晨.,王万琼.,...&杜旭.(2022).RFI抑制技术在射电天文中的应用.天文研究与技术,19(6),613-625. |
MLA | 张海龙,et al."RFI抑制技术在射电天文中的应用".天文研究与技术 19.6(2022):613-625. |
Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
张海龙-2022-RFI抑制技术在射电天(1790KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment