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一种基于多尺度带通滤波的洁化算法与GPU实现
Alternative TitleA CLEAN Algorithm Based on Multi-Scale bandpass filter and its GPU implemention
梅盈1,4; 邓辉3; 张晓丽1,2; 王锋1,3,4; 陈腾达2
Source Publication天文研究与技术(Astronomical Research & Technology)
2018-10
Volume15Issue:03Pages:285-291
DOI10.14005/j.cnki.issn1672-7673.20180427.006
ClassificationTp274
Contribution Rank第1完成单位
Indexed ByCSCD
Keyword多尺度洁化 射电成像 图形处理器
Abstract

中国新一代频电频谱日像仪-明安图射电频谱日像仪(Mingantu Spectral Radioheliograph,MUSER)以高时间、高空间、高频率分辨率工作在0.4GHz~15GHz,为太阳爆发活动初始能量释放区的物理过程、太阳电子加速等研究开辟了新的窗口。高性能高质量太阳成像算法是MUSER数据处理流水线至关重要的研究内容。参考法国墨东天文台太阳干涉阵的数据处理方法,系统讨论分析了多尺度(Multi-Scale)CLEAN算法,给出了适用于MUSER的多尺度CLEAN算法参数,并重点讨论了算法的GPU并行。实验结果表明,改进的多尺度CLEAN在算法效率上比基于GPU实现的Högbom CLEAN提高了近3倍,有效提高了整个MUSER数据处理流水线的性能。 

Other Abstract

China's new generation radio telescope-The Mingantu Ultrawide SpEctral Radioheliograph(MUSER)generates high-quality radio images with high temporal, high spatial, and high spectral resolutions in the frequency range of 400MHz-15GHz.The MUSER will provide a new observational window on researches such as solar activities and solar electron accelerations. High-performance and high-quality imaging form a significant part in aspect of MUSER's massive data processing requirements. Referring to the data processing method of the MEUDON observatory in France, we give a detailed analysis of multi-scale CLAEN. Appropriate parameters are given for MUSER CLEAN and the implementation based on GPU is presented. The experimental results show that the multi-scale CLAEN is nearly three times faster than the previously realized H gbom CLEAN, which will improve the performance of the whole data processing system effectively.

Funding Project国家重点研究发展计划(973计划)[2016YFE0100300] ; 国家自然科学基金[U1531132] ; 国家自然科学基金[U1631129] ; 国家自然科学基金[U1231205] ; 国家自然科学基金[11403009] ; 国家自然科学基金[11463003] ; 国家自然科学基金[1177301]
Funding Organization国家重点研究发展计划(973计划)[2016YFE0100300] ; 国家自然科学基金[U1531132, U1631129, U1231205, 11403009, 11463003, 1177301]
Language中文
Subject Area天文学 ; 天文学其他学科 ; 计算机科学技术
MOST Discipline Catalogue理学 ; 理学::天文学 ; 工学 ; 工学::计算机科学与技术(可授工学、理学学位)
ISSN1672-7673
CSCD IDCSCD:6272008
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/12158
Collection其他
Corresponding Author张晓丽
Affiliation1.中国科学院云南天文台,云南,昆明,650011
2.昆明理工大学,云南,昆明,650500
3.广州大学天体物理中心,广东,广州,510006
4.中国科学院大学,北京,100049
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
梅盈,邓辉,张晓丽,等. 一种基于多尺度带通滤波的洁化算法与GPU实现[J]. 天文研究与技术(Astronomical Research & Technology),2018,15(03):285-291.
APA 梅盈,邓辉,张晓丽,王锋,&陈腾达.(2018).一种基于多尺度带通滤波的洁化算法与GPU实现.天文研究与技术(Astronomical Research & Technology),15(03),285-291.
MLA 梅盈,et al."一种基于多尺度带通滤波的洁化算法与GPU实现".天文研究与技术(Astronomical Research & Technology) 15.03(2018):285-291.
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