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基于独立成分分析的射频干扰信号消除方法
Alternative TitleRadio frequency mitigation using independent component analysis
戴伟1,3,4; 尚振宏2; 徐永华1; 刘辉2; 杨亚光2; 强振平5
Source Publication天文研究与技术(Astronomical Research & Technology)
2018-12
DOI10.14005/j.cnki.issn1672-7673.20181219.001
ClassificationP111.44
Contribution Rank第1完成单位
Indexed ByCSCD
Keyword射频干扰 独立成分分析 脉冲星 干扰信号消除
Abstract

射电天文已成为人类研究宇宙的重要途径。但随着人类生产、生活的发展,射频干扰信号对射电天文观测的影响越来越严重,观测数据的好坏关系到科学成果的质量甚至结论的真伪。目前广泛采用基于阈值判断射频干扰,对干扰信号直接舍弃部分观测数据的方法。此类方法存在阈值确定困难、观测带宽和时间被缩减等问题。本文针对脉冲星观测射电信号中,各干扰信号及射电信号统计独立以及呈现出的非高斯性,利用独立成分分析对混合信号进行分解;并根据观测信号中脉冲星信号和干扰信号的分布特点,识别脉冲星信号,实现干扰信号消除。使用该方法对云南天文台40米射电望远镜接收到的脉冲星观测信号进行独立成分分析,分解出独立的RFI信号和脉冲星信号,消除射频干扰信号。本文方法在干扰信号消除、射电信号保留及信噪比方面均取得良好效果。 

Other Abstract

Radio astronomy has become an important way to study the universe. However, with the development of human production and life, radio frequency interference (RFI) has more and more serious impact on radio astronomical observation. The quality of observation is related to the quality of scientific achievements and even the authenticity of conclusions. At present, RFIdetection based on threshold is widely used, and part of the observed data is directly discarded for the interference. Such methods have difficulties in determining threshold values, and reduce observation bandwidth and time. Observed the fact that interferences and radio signals are
statistical independence and each is non-Gaussian, we propose a novel approach for radio frequency interference mitigation using independent component analysis to decompose the mixed signal, then identifies the pulsar signal according to the different distribution characteristics between the pulsar signal and RFI signals. The pulsar observations received from 40-meter radio telescope in Yunnan Observatories are processed by the new approach. The results show: RFI signals in pulsar observations are cleanly mitigated while little affecting pulsar signal and good signal-to-noise ratio is achieved.

Funding Project国家自然科学基金资助项目[61462052] ; 国家自然科学基金资助项目[60277005] ; 云南省重点研发计划项目[2018IA054] ; 云南省应用基础研究项目[2017FB001]
Funding Organization国家自然科学基金资助项目[61462052], 60277005] ; 云南省重点研发计划项目[2018IA054] ; 云南省应用基础研究项目[2017FB001]
Language中文
Subject Area天文学 ; 射电天文学 ; 射电天文方法
MOST Discipline Catalogue理学 ; 理学::天文学
ISSN1672-7673
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/18426
Collection射电天文研究组
Affiliation1.中国科学院云南天文台,云南,昆明,650011
2.昆明理工大学信息工程与自动化学院,云南,昆明,650500
3.昆明理工大学云南省计算机技术应用重点实验室,云南,昆明,650500
4.中国科学院大学,北京,100049
5.西南林业大学大数据与智能工程学院,云南,昆明,650224
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
戴伟,尚振宏,徐永华,等. 基于独立成分分析的射频干扰信号消除方法[J]. 天文研究与技术(Astronomical Research & Technology),2018.
APA 戴伟,尚振宏,徐永华,刘辉,杨亚光,&强振平.(2018).基于独立成分分析的射频干扰信号消除方法.天文研究与技术(Astronomical Research & Technology).
MLA 戴伟,et al."基于独立成分分析的射频干扰信号消除方法".天文研究与技术(Astronomical Research & Technology) (2018).
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