Institutional Repository of Radio Astronomy Research Laboratory
| Sparsity and M-Estimators in RFI Mitigation for Typical Radio Astrophysical Signals | |
Shan, Hao1,2 ; Jiang, Ming3; Yuan, Jianping1,2; Yang, Xiaofeng1,2; Yan, Wenming1,2; Wang, Zhen1,2; Wang, Na1,2
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| 2023-12-01 | |
| Source Publication | UNIVERSE
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| Volume | 9Issue:12Pages:488 |
| Contribution Rank | 1 |
| Abstract | In this paper, radio frequency interference (RFI) mitigation by robust maximum likelihood estimators (M-estimators) for typical radio astrophysical signals of, e.g., pulsars and fast radio bursts (FRBs), will be investigated. The current status reveals several defects in signal modeling, manual factors, and a limited range of RFI morphologies. The goal is to avoid these defects while realizing RFI mitigation with an attempt at feature detection for FRB signals. The motivation behind this paper is to combine the essential signal sparsity with the M-estimators, which are pertinent to the RFI outliers. Thus, the sparsity of the signals is fully explored. Consequently, typical isotropic and anisotropic features of multichannel radio signals are accurately approximated by sparse transforms. The RFI mitigation problem is thus modeled as a sparsity-promoting robust nonlinear estimator. This general model can reduce manual factors and is expected to be effective in mitigating most types of RFI, thus alleviating the defects. Comparative studies are carried out among three classes of M-estimators combined with several sparse transforms. Numerical experiments focus on real radio signals of several pulsars and FRB 121102. There are two discoveries in the high-frequency components of FRB 121102-11A. First, highly varying narrow-band isotropic flux regions of superradiance are discovered. Second, emission centers revealed by the isotropic features can be completely separated in the time axis. The results have demonstrated that the M-estimator-based sparse optimization frameworks show competitive results and have potential application prospects. |
| Keyword | fast radio bursts pulsar signals radio frequency interference RFI mitigation/excision robust nonlinear filters maximum likelihood estimators sparse representation wavelets shearlets curvelets |
| DOI | 10.3390/universe9120488 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | FREQUENCY INTERFERENCE MITIGATION ; ROBUST REGRESSION ; PULSAR ; ALGORITHM ; EXCISION |
| Funding Project | Special Projects of Major Science and Technology in Xinjiang Uygur Autonomous Region, China |
| WOS Research Area | Astronomy & Astrophysics ; Physics |
| WOS Subject | Astronomy & Astrophysics ; Physics, Particles & Fields |
| WOS ID | WOS:001131496500001 |
| Publisher | MDPI |
| Funding Organization | Special Projects of Major Science and Technology in Xinjiang Uygur Autonomous Region, China |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/5694 |
| Collection | 射电天文研究室_行星科学研究团组 |
| Corresponding Author | Shan, Hao; Jiang, Ming |
| Affiliation | 1.Chinese Acad Sci, Xinjiang Astron Observ, 150 Sci St 1st, Urumqi 830011, Peoples R China 2.Xinjiang Key Lab Radio Astrophys, 150 Sci St 1st, Urumqi 830011, Peoples R China 3.Xidian Univ, Natl Key Lab Radar Signal Proc, 2 South Taibai Rd, Xian 710071, Peoples R China |
| Recommended Citation GB/T 7714 | Shan, Hao,Jiang, Ming,Yuan, Jianping,et al. Sparsity and M-Estimators in RFI Mitigation for Typical Radio Astrophysical Signals[J]. UNIVERSE,2023,9(12):488. |
| APA | Shan, Hao.,Jiang, Ming.,Yuan, Jianping.,Yang, Xiaofeng.,Yan, Wenming.,...&Wang, Na.(2023).Sparsity and M-Estimators in RFI Mitigation for Typical Radio Astrophysical Signals.UNIVERSE,9(12),488. |
| MLA | Shan, Hao,et al."Sparsity and M-Estimators in RFI Mitigation for Typical Radio Astrophysical Signals".UNIVERSE 9.12(2023):488. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Shan-2023-Sparsity a（8469KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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