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Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology | |
Qin, Ming-Wei1; Tang, Rui1; Zhou, Ying-Hui1; Lan, Chang-Jun1; Fu, Wen-Hao1; Wang, Huan1; Hou, Bao-Lin1; Abidin, Zamri Bin Zainal2; Ping, Jin-Song3; Yang, Wen-Jun4![]() | |
2025-07-01 | |
Source Publication | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
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ISSN | 1674-4527 |
Volume | 25Issue:7Pages:075014 |
Contribution Rank | 4 |
Abstract | 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. |
Keyword | methods: data analysis techniques: image processing techniques: spectroscopic Sun: radio radiation methods: numerical |
DOI | 10.1088/1674-4527/addbc5 |
Indexed By | SCI |
Language | 英语 |
WOS Keyword | FREQUENCY INTERFERENCE ; BAND RFI ; ELEMENT ; SUPPRESSION ; MITIGATION ; ALGORITHM ; PHYSICS ; EPOCH ; IMAGE ; ARRAY |
Funding Project | 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 Research Area | Astronomy & Astrophysics |
WOS Subject | Astronomy & Astrophysics |
WOS ID | WOS:001510698700001 |
Publisher | IOP Publishing Ltd |
Funding Organization | National Key Research and Development Program's intergovernmental International Science and Technology Innovation Cooperation project ; International Partnership Program of Chinese Academy of Sciences |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.xao.ac.cn/handle/45760611-7/7829 |
Collection | 射电天文研究室_行星科学研究团组 |
Corresponding Author | Qin, Ming-Wei; Ping, Jin-Song |
Affiliation | 1.Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Peoples R China 2.Univ Malaya, Dept Phys, Kuala Lumpur 50603, Malaysia 3.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Xinjiang Astron Observ, Xinjiang 830011, Peoples R China 5.Chinese Acad Sci, Yunnan Astron Observ, Yunnan 650216, Peoples R China |
Recommended Citation 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. |
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Qin-2025-Noise Reduc(2064KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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