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Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology

文献类型：期刊论文

作者Qin, Ming-Wei3; Tang, Rui3; Zhou, Ying-Hui3; Lan, Chang-Jun3; Fu, Wen-Hao3; Wang, Huan3; Hou, Bao-Lin3; Abidin, Zamri Bin Zainal4; Ping, Jin-Song1; Yang, Wen-Jun2
刊名RESEARCH IN ASTRONOMY AND ASTROPHYSICS
出版日期2025-07-01
卷号25期号:7页码:075014
关键词methods: data analysis techniques: image processing techniques: spectroscopic Sun: radio radiation methods: numerical
ISSN号1674-4527
DOI10.1088/1674-4527/addbc5
产权排序4
英文摘要The 21 cm radiation of neutral hydrogen provides crucial information for studying the early universe and its evolution. To advance this research, countries have made significant investments in constructing large low-frequency radio telescope arrays, such as the Low Frequency Array and the Square Kilometre Array Phase 1 Low Frequency. These instruments are pivotal for radio astronomy research. However, challenges such as ionospheric plasma interference, ambient radio noise, and instrument-related effects have become increasingly prominent, posing major obstacles in cosmology research. To address these issues, this paper proposes an efficient signal processing method that combines wavelet transform and mathematical morphology. The method involves the following steps: Background Subtraction: Background interference in radio observation signals is eliminated. Wavelet Transform: The signal, after removing background noise, undergoes a two-dimensional discrete wavelet transform. Threshold processing is then applied to the wavelet coefficients to effectively remove interference components. Wavelet Inversion: The processed signal is reconstructed using wavelet inversion. Mathematical Morphology: The reconstructed signal is further optimized using mathematical morphology to refine the results. Experimental verification was conducted using solar observation data from the Xinjiang Observatory and the Yunnan Observatory. The results demonstrate that this method successfully removes interference signals while preserving useful signals, thus improving the accuracy of radio astronomy observations and reducing the impact of radio frequency interference.
WOS关键词FREQUENCY INTERFERENCE ; BAND RFI ; ELEMENT ; SUPPRESSION ; MITIGATION ; ALGORITHM ; PHYSICS ; EPOCH ; IMAGE ; ARRAY
资助项目National Key Research and Development Program's intergovernmental International Science and Technology Innovation Cooperation project[2022YFE0140000] ; International Partnership Program of Chinese Academy of Sciences[114A11KYSB20200001]
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001510698700001
出版者IOP Publishing Ltd
资助机构National Key Research and Development Program's intergovernmental International Science and Technology Innovation Cooperation project ; International Partnership Program of Chinese Academy of Sciences
源URL[http://ir.xao.ac.cn/handle/45760611-7/7828]  
专题射电天文研究室_行星科学研究组
通讯作者Qin, Ming-Wei; Ping, Jin-Song
作者单位1.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Xinjiang Astron Observ, Xinjiang 830011, Peoples R China
3.Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Peoples R China
4.Univ Malaya, Dept Phys, Kuala Lumpur 50603, Malaysia
5.Chinese Acad Sci, Yunnan Astron Observ, Yunnan 650216, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Ming-Wei,Tang, Rui,Zhou, Ying-Hui,et al. Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2025,25(7):075014.
APA Qin, Ming-Wei.,Tang, Rui.,Zhou, Ying-Hui.,Lan, Chang-Jun.,Fu, Wen-Hao.,...&Dong, Liang.(2025).Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,25(7),075014.
MLA Qin, Ming-Wei,et al."Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 25.7(2025):075014.

入库方式： OAI收割

来源：新疆天文台

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