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the Time and Frequency Distribution Characteristics of Interference Signals Based on Artificial Intelligence Technology

文献类型：期刊论文

作者Li, Shengyang3; Zhao, Zhixiang2; Tian, Bin3; Tang, Junwen2; Fu, Ning2; Dong L(董亮)1
刊名INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
出版日期2025
关键词Radio astronomy artificial intelligence threshold algorithm radio interference time and frequency distribution
ISSN号0218-0014
DOI10.1142/S0218001425590141
产权排序第3完成单位
文献子类Article
英文摘要

In this paper, we propose a method with artificial intelligence to optimize manual astronomical observation works. For the large amount of data generated by radio astronomy monitoring, we compile 4 algorithms including VTD, WSV, MAD, and MAS in the procedure of data analysis. Then the platform can recognize the radio interference signals from radio astronomy monitoring data and analyze the spatiotemporal distribution characteristics, and generate reports automatically. Through this method, the amount of work would greatly improve work efficiency and accuracy. The distribution patterns and changes of radio frequency interference signals in the area can be grasped and analyzed efficiently and quickly by astronomy researchers.

学科主题天文学 ; 射电与天文学
URL标识查看原文
出版地5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
资助项目Special Project for the construction of science and technology innovation centers faced to South Asia and Southeast Asia-Yunnan International Joint Innovation Platform: China-Malaysia HF-VHF Advanced Radio Astronomy Technology International Joint Laborator[202303AP140003]; National Natural Science Foundation of China Astronomy Joint Fund Cultivation Project[U2031133]; SKA Special Project of the Ministry of Science and Technology[2020SKA0110202]; International Partnership Project of the International Cooperation Bureau of the Chinese Academy of Sciences: 'The Belt and Road Initiative'Cooperation[114A11KYSB20200001]; Kunming International Cooperation Base Project: Yunnan Observatory of the Chinese Academy of Sciences-University of Malaya Joint Research and Development Cooperation Base for Advanced Radio Astronomy Technology[GHJD-2021022]; National Key Scientific Project of Ministry of Science and Technology: China-Malaysia Cooperation Research on Space Remote Sensing and Radio Astronomy Observation of Mid-and Low-latitude Space Weather[2022YFE0140000]; SKA Special Project of the Ministry of Science and Technology: High-precision calibration method for low-frequency radio interference array[2020SKA0110300]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001536625500001
出版者WORLD SCIENTIFIC PUBL CO PTE LTD
资助机构Special Project for the construction of science and technology innovation centers faced to South Asia and Southeast Asia-Yunnan International Joint Innovation Platform: China-Malaysia HF-VHF Advanced Radio Astronomy Technology International Joint Laborator[202303AP140003] ; National Natural Science Foundation of China Astronomy Joint Fund Cultivation Project[U2031133] ; SKA Special Project of the Ministry of Science and Technology[2020SKA0110202] ; International Partnership Project of the International Cooperation Bureau of the Chinese Academy of Sciences: 'The Belt and Road Initiative'Cooperation[114A11KYSB20200001] ; Kunming International Cooperation Base Project: Yunnan Observatory of the Chinese Academy of Sciences-University of Malaya Joint Research and Development Cooperation Base for Advanced Radio Astronomy Technology[GHJD-2021022] ; National Key Scientific Project of Ministry of Science and Technology: China-Malaysia Cooperation Research on Space Remote Sensing and Radio Astronomy Observation of Mid-and Low-latitude Space Weather[2022YFE0140000] ; SKA Special Project of the Ministry of Science and Technology: High-precision calibration method for low-frequency radio interference array[2020SKA0110300]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/28469]  
专题云南天文台_射电天文研究组
通讯作者Li, Shengyang
作者单位1.Yunnan Astronomical Observatory, Chinese Academy of Sciences, Kunming, P. R. China
2.Forward High Energy Artificial Intelligence Technology (Chengdu) Co., Chengdu, P. R. China;
3.Yunnan Radio Monitoring Center, Kunming, P. R. China;
推荐引用方式
GB/T 7714		 Li, Shengyang,Zhao, Zhixiang,Tian, Bin,et al. the Time and Frequency Distribution Characteristics of Interference Signals Based on Artificial Intelligence Technology[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2025.
APA Li, Shengyang,Zhao, Zhixiang,Tian, Bin,Tang, Junwen,Fu, Ning,&Dong L.(2025).the Time and Frequency Distribution Characteristics of Interference Signals Based on Artificial Intelligence Technology.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE.
MLA Li, Shengyang,et al."the Time and Frequency Distribution Characteristics of Interference Signals Based on Artificial Intelligence Technology".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2025).

入库方式： OAI收割

来源：云南天文台

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