随着科学技术的不断进步, 射电天文台站趋于自动化, 各类电子设备的广泛使用使得射电天文台站的电磁环境变得尤为复杂, 如何有效识别和统计复杂频谱中的干扰信号是当前射电天文台站亟需解决的问题, 故提出一种宽带频谱序列干扰信号识别与统计方法. 首先, 对每组宽带频谱进行信噪分离、识别频谱中的干扰信号; 然后, 对第1组宽带频谱信号识别结果及信号特征建立模板库, 后续每组频谱的信号识别结果与模板库中对应频率的信号进行相似性分析, 根据相似性分析结果, 统计信号次数, 更新模板库; 实现宽带频谱序列干扰信号的识别与统计. 针对QTT (QiTai Radio Telescope)台站实测频谱, 运用该方法进行干扰信号识别与统计, 能够有效识别并标记频谱中的干扰信号, 并统计干扰信号随时间、方向的变化趋势.
With the development of science and technology, radio observatories gradually tend to be automated, and the electromagnetic environment of radio observatories becomes more complicated with the introduction of various electronic equipments. How to effectively identify and count the interference signal in a complicated spectrum is an urgent problem to be solved in the radio observatories at present. Therefore, a method of identification and statistics of the interference signals of broadband spectrum sequences is proposed in this paper. Firstly, signal-to-noise separation was performed for each set of wideband spectrum, and signals were identified in the spectrum. Then, the template database was established for the first group of wideband spectrum signal identification results and signal features. The correlation analysis between the signal identification results of each set of spectrum and the corresponding frequency signals in the template database was carried out. According to the correlation analysis results, the number of signals was counted, and the template database was updated. Thus, the signal identification and signal statistics of wideband spectrum interference were realized. According to the measured spectrum of QTT (QiTai Radio Telescope), the interference signal can be identified and counted by this method, and the trend of interference signal varied with time and direction can be calculated.
国家自然科学基金项目(11473061, 11763007)、国家重点基础研究发展计划项目(2015CB857100)、中国科学院``西部之光'人才培养引进计划、 中国科学院天文台站设备更新及重大仪器设备运行专项经费支持项目、中国科学院天文大科学研究中心前瞻课题资助