| 射电天文台址常驻电磁干扰检测与识别方法 |
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| 引用本文： | 蔡明辉,刘奇,王玥,苏晓明,党振伟,张国福.射电天文台址常驻电磁干扰检测与识别方法[J].天文学报,2022,63(4):39-19. |
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| 作者姓名： | 蔡明辉 刘奇 王玥 苏晓明 党振伟 张国福 |
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| 作者单位： | 1. 中国科学院新疆天文台 |
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| 基金项目： | 中国科学院``西部之光''人才培养引进计划(2019-XBQNXZ-B-020), 国家自然科学基金项目(11973077、12003061), 新疆维吾尔自治区自然科学基金项目(2021D01E07), 中国科学院天文台站设备更新及重大仪器设备运行专项资助 |
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| 摘 要： | 为有效统计射电天文台址常驻电磁干扰的变化,提高实时电磁环境监测效率,提出一种基于先验信息的常驻电磁干扰信号检测与识别方法.首先通过信噪分离,信号能量估值从电磁环境历史监测数据中提取移动通信,地面数字电视等常驻大信号的中心频率、极化方式、来波方向等特征,经对无线信号传播信道的衰落方式进行分析,提出信号能量模型服从的分布函数假设并采用K-S检验验证该假设,合理设置能量阈值,建立信号模板库.其次,根据信号模板库中的信号特征对实时频谱数据进行双门限能量检测、信号相关性识别,从而提高信号检验的准确率,实现了常驻信号的快速统计.针对射电天文台址实测频谱,运用该方法能够有效识别并统计频谱中的常驻信号,从而为台址干扰缓解策略制定提供重要依据.
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| 关 键 词： | 射频干扰 假设检验 信号识别 信号模板 |
| 收稿时间： | 2021/8/2 0:00:00 |
Detection and Identification Method of Resident Electromagnetic Interference at Radio Observatory Site |
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| CAI Ming-hui,LIU Qi,WANG Yue,SU Xiao-ming,DANG Zhen-wei,ZHANG Guo-fu.Detection and Identification Method of Resident Electromagnetic Interference at Radio Observatory Site[J].Acta Astronomica Sinica,2022,63(4):39-19. |
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| Authors: | CAI Ming-hui LIU Qi WANG Yue SU Xiao-ming DANG Zhen-wei ZHANG Guo-fu |
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| Institution: | Xinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011;Xinjiang Key Laboratory of Microwave Technology, Urumqi 830011 |
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| Abstract: | In order to effectively count the changes of resident electromagnetic interference (EMI) of radio observatory sites and improve the efficiency of real-time electromagnetic environment monitoring, a method for detecting and identifying resident EMI signals based on prior information is proposed. Firstly, through signal-to-noise separation and signal energy estimation, the center frequency, polarization mode, incoming wave direction and other characteristics of permanent large signals such as mobile communication and terrestrial digital TV are extracted from the historical monitoring data of electromagnetic environment. After analyzing the fading mode of wireless signal propagation channel, the hypothesis of distribution function obeyed by the signal energy model is proposed and verified by K-S test. The K-S test method is used to obtain the distribution law obeyed by the resident signal energy, reasonably set the energy threshold and establish the signal template library. Secondly, according to the signal characteristics in the signal template library, the real-time spectrum data is tested by dual threshold energy detection and signal correlation recognition, so as to improve the accuracy of signal inspection. Finally, the fast statistics of resident signals is realized, which provides an important basis for the formulation of station site interference mitigation strategy. |
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| Keywords: | radio frequency interference hypothesis testing signal identification signal template |
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