Compressed Sensing Based RFI Mitigation and Restoration for Pulsar Signals
文献类型：期刊论文
| 作者 | Shan, Hao1,2 ; Yuan, Jianping1,2; Wang, Na1,2; Wang, Zhen1,2
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| 刊名 | Astrophysical Journal
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 935期号:2页码:117 |
| 关键词 | frequency interference mitigation monotone-operators limits representations reconstruction decomposition convergence shrinkage recovery Astronomy & Astrophysics |
| ISSN号 | 0004-637X |
| DOI | 10.3847/1538-4357/ac8003 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | In pulsar signal processing, two primary difficulties are (1) radio-frequency interference (RFI) mitigation and (2) information loss due to preprocessing and mitigation itself. Linear mitigation methods have a difficulty in RFI modeling, and accommodate a limited range of RFI morphologies. Thresholding methods suffer from manual factors and adaptability. There is also a distinct lack of methods dedicated to information loss. In this paper, a novel method "CS-Pulsar" is proposed. It carries out compressed sensing (CS) on time-frequency signals to accomplish RFI mitigation and signal restoration simultaneously. Curvelets allow an optimal sparse representation for multichannel pulsar signals containing the time-of-arrival dispersion relationship. CS-Pulsar mitigation is implemented using a regularized least-squares framework that does not require the statistics of RFI to be known beforehand. CS-Pulsar implements channel restoration, and useful signal contents are retrieved from the measurement error by a morphological component analysis aided by the root-mean-square envelope. These two steps allow CS-Pulsar to provide key signal details for special astrophysical purposes. Experiments of signal restoration for pulsar data from the Nanshan 26 m radio telescope reveal the advantage of CS-Pulsar. The method successfully removes false peaks due to on-pulse RFI in multipeaked pulsar profiles. CS-Pulsar also increases the timing accuracy and signal-to-noise ratio proving its feasibilities and prospects in astrophysical measurements. |
| 语种 | 英语 |
| WOS记录号 | WOS:000842708000001 |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/5143]  |
| 专题 | 射电天文研究室_行星科学研究组 射电天文研究室_利用南山26米射电望远镜观测数据的文章 |
| 作者单位 | 1.Xinjiang Astronomical Observatory, Chinese Academy of Sciences, 150 Science Street 1st, Urumqi 830011, People’s Republic of China; 2.Xinjiang Key Laboratory of Radio Astrophysics, 150 Science Street 1st, Urumqi 830011, People’s Republic of China |
| 推荐引用方式 GB/T 7714 | Shan, Hao,Yuan, Jianping,Wang, Na,et al. Compressed Sensing Based RFI Mitigation and Restoration for Pulsar Signals[J]. Astrophysical Journal,2022,935(2):117. |
| APA | Shan, Hao,Yuan, Jianping,Wang, Na,&Wang, Zhen.(2022).Compressed Sensing Based RFI Mitigation and Restoration for Pulsar Signals.Astrophysical Journal,935(2),117. |
| MLA | Shan, Hao,et al."Compressed Sensing Based RFI Mitigation and Restoration for Pulsar Signals".Astrophysical Journal 935.2(2022):117. |
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