| Research Article |
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RFI intelligent monitoring techniques for FAST |
| ZHANG Haiyan1,3,5, HU Hongliang2, WANG Yu1,6, JIANG Huajing4, GAN Hengqian1,3, HU Hao1, HUANG Shijie1 |
1. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China;
2. Jiangnan Institute of Mechanical and Electrical Design, Guiyang 550009, China;
3. Key Laboratory of FAST, Chinese Academy of Sciences, Beijing 100101, China;
4. Tejin Intelligent Technology Co., Shanghai 201112, China;
5. Hebei Key Laboratory of Radio Astronomy Technology, Shijiazhuang 050081, China;
6. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Radio frequency interference (RFI) intelligent monitoring techniques are being developed for the electromagnetic environment of the five-hundred-meter aperture spherical radio telescope (FAST), including interference source classification and identification and high-precision localization. According to the characteristics of FAST sites, the interference detection and identification uses multi-site cooperative spectrum sensing and signal identification based on deep neural networks. The interference source localization uses time difference of arrival (TDOA) for accurate localization with low signal-to-noise ratios. The time difference between signals arriving at different receivers is estimated using the generalized mutual correlation method. This intelligent monitoring research lays the groundwork for the FAST radio interference intelligent monitoring system as well as the FAST spectrum management and electromagnetic environmental protection work.
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| Keywords
FAST
radio frequency interference
interference identification and localization
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Issue Date: 19 October 2022
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2022,
Vol. 62
