Institutional Repository of Computer Application Research Laboratory
| 基于模板的瞬时RFI特征识别算法初探 | |
| Alternative Title | Preliminary Study of Transient RFI Feature Recognition Algorithm Based on Template |
张亚州1,2 ; 张海龙1,2,3,4; 张萌1,2; 王杰1,4; 冶鑫晨1,4; 王万琼1; 李嘉1; 杜旭1,2
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| 2022-09-01 | |
| Source Publication | 天文研究与技术
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| ISSN | 1672-7673 |
| Volume | 19Issue:5Pages:479-486 |
| Contribution Rank | 1 |
| Abstract | 瞬时射频干扰（RFI）信号是最难以识别并消除的一类干扰。针对射电天文观测过程中遇到瞬时RFI问题，本文提出了一种基于RFI信号峰值的特征提取方法，利用该方法生成了RFI信号的特征模板，并基于动态时间规整（DTW）算法和打分策略设计了特征识别算法，实现了RFI信号识别以及分类功能。利用ARRL官网提供的RFI数据完成了特征模板的交叉验证对比，测试结果显示RFI特征模板与同类别RFI相似度高，表明该算法能够对RFI进行识别和分类，该算法为瞬时RFI的特征提取以及识别提供了一种新思路。 |
| Other Abstract | Transient radio frequency interference( RFI) signals are one of the most difficult types of interference to identify and eliminate. This paper proposes a feature extraction method based on RFI signal peaks for the problem of transient RFI encountered during radio astronomical observations. The method is used to generate a feature template for RFI signals,and a feature recognition algorithm is designed based on the Dynamic Time Warping( DTW) algorithm and scoring strategy to achieve RFI signal recognition and classification. The cross-validation comparison of the feature templates is completed using the RFI data provided by the ARRL website. The test results show that the RFI feature templates are highly similar to the same category of RFI,indicating that the algorithm is capable of identifying and classifying RFI,which provides a new idea for the feature extraction and identification of transient RFI. |
| Keyword | RFI 周期计算 特征提取 特征识别 |
| DOI | 10.14005/j.cnki.issn1672-7673.20210915.001 |
| URL | 查看原文 |
| Indexed By | CSCD |
| Language | 中文 |
| CSCD ID | CSCD:7304905 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/5114 |
| Collection | 计算机技术应用研究室 |
| Corresponding Author | 张海龙 |
| Affiliation | 1.中国科学院新疆天文台，新疆乌鲁木齐830011; 2.中国科学院大学，北京100049; 3.中国科学院射电天文重点实验室，江苏南京210033; 4.国家天文科学数据中心，北京100101 |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Corresponding Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | 张亚州,张海龙,张萌,等. 基于模板的瞬时RFI特征识别算法初探[J]. 天文研究与技术,2022,19(5):479-486. |
| APA | 张亚州.,张海龙.,张萌.,王杰.,冶鑫晨.,...&杜旭.(2022).基于模板的瞬时RFI特征识别算法初探.天文研究与技术,19(5),479-486. |
| MLA | 张亚州,et al."基于模板的瞬时RFI特征识别算法初探".天文研究与技术 19.5(2022):479-486. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 张亚州-2022-基于模板的瞬时RFI特（2887KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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