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FPGA Based Nature Noise Reduction and RFI Removing in Radio Astronomy
Dong L(董亮)1; Wang M(汪敏)1; Xu C(许春)1; Shi SB(施硕彪)1; Bai, ZY2; He, LS2
会议录名称PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9
2009
页码3902-3906
DOI10.1109/CISP.2009.5301097
会议录编者/会议主办者Qiu, PH; Yiu, C; Zhang, H; Wen, XB
产权排序第1完成单位
收录类别EI ; CPCI
会议名称2nd International Congress on Image and Signal Processing
会议日期2009-10-17
会议地点Tianjin, PEOPLES R CHINA
会议赞助商Tianjin Univ Technol; IEEE Engn Med & Biol Soc (EMBS)
关键词Nature Noise Rfi (Radio Frequency Interference) Weak Radio Astronomy Sources
摘要

In radio astronomy, our observation sources' emission are sometimes more weaker than RFIs' (Radio Frequency Interference), so RFIs' removing is very important in getting useful and valuable information from these sources. A new FPGA based method for nature noise reduction and RFIs removal is proposed in this paper. First we analyze the different Nature noise condition with different positions and generating mechanisms. Secondly, we analyze the different RFI forms, there are three RFI styles, and giving the different influences to radio astronomy observation. Finally, we use the different digital filters' assembly forms in FPGA to remove the influence which different RFI pulling into the Nyquist bandwidth.

项目资助者N/A
语种英语
学科领域天文学 ; 射电天文学 ; 电子、通信与自动控制技术 ; 计算机科学技术
文章类型Proceedings Paper
出版者IEEE
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN号978-1-4244-4130-3
URL查看原文
归档日期2010-01-24
WOS记录号WOS:000280804302120
WOS研究方向Computer Science ; Imaging Science & Photographic Technology ; Telecommunications
WOS类目Computer Science, Artificial Intelligence ; Imaging Science & Photographic Technology ; Telecommunications
EI入藏号20100212630956
EI主题词Radio Interference
EI分类号701.1electricity: Basic Concepts And Phenomena - 703.2electric Filters - 711electromagnetic Waves - 716.3radio Systems And Equipment - 721.2logic Elements
引用统计
文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/5716
专题射电天文研究组
通讯作者Dong L(董亮)
作者单位1.Yunnan Observatory of Chinese Academy Science, Kunming 650011 China
2.School of Information ScieHence and Engineering, Yunnan University, Kunming 650091 China
第一作者单位中国科学院云南天文台
通讯作者单位中国科学院云南天文台
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GB/T 7714
Dong L,Wang M,Xu C,et al. FPGA Based Nature Noise Reduction and RFI Removing in Radio Astronomy[C]//Qiu, PH; Yiu, C; Zhang, H; Wen, XB. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2009:3902-3906.
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