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-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 |
| 刊名 | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
 |
| 出版日期 | 2025-07-01 |
| 卷号 | 25期号:7 |
| 关键词 | methods: data analysis techniques: image processing techniques: spectroscopic Sun: radio radiation methods: numerical |
| ISSN号 | 1674-4527 |
| DOI | 10.1088/1674-4527/addbc5 |
| 产权排序 | 第5完成单位 |
| 文献子类 | Article |
| 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. |
| 学科主题 | 天文学 ; 射电与天文学 |
| URL标识 | 查看原文 |
| 出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
| 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[2022YFE0140000] ; International Partnership Program of Chinese Academy of Sciences[114A11KYSB20200001] |
| 版本 | 出版稿 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/28379]  |
| 专题 | 云南天文台_射电天文研究组 |
| 通讯作者 | Qin, Ming-Wei; Ping, Jin-Song |
| 作者单位 | 1.School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China; 2.Department of Physics, Lingkungan Budi, University Malaya, 50603, Kuala Lumpur, Malaysia; 3.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China; 4.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Xinjiang 830011, China; 5.Yunnan Astronomical Observatory, Chinese Academy of Sciences, Yunnan 650216, 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). |
| APA | Qin, Ming-Wei.,Tang, Rui.,Zhou, Ying-Hui.,Lan, Chang-Jun.,Fu, Wen-Hao.,...&董亮.(2025).Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,25(7). |
| 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). |
入库方式： OAI收割
来源：云南天文台
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