YNAO OpenIR  > 射电天文研究组
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)
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


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]
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
Citation statistics
Document Type期刊论文
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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