RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
X. Zhang , I. Cognard , N. Dobigeon
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引用次数: 0

Abstract

Radio frequency interference (RFI) has been an enduring concern in radio astronomy, particularly for the observations of pulsars which require high timing precision and data sensitivity. In most works of the literature, RFI mitigation has been formulated as a detection task that consists of localizing possible RFI in dynamic spectra. This strategy inevitably leads to a potential loss of information since parts of the signal identified as possibly RFI-corrupted are generally not considered in the subsequent data processing pipeline. Conversely, this work proposes to tackle RFI mitigation as a joint detection and restoration that allows parts of the dynamic spectrum affected by RFI to be not only identified but also recovered. The proposed supervised method relies on a deep convolutional network whose architecture inherits the performance reached by a recent yet popular image-denoising network. To train this network, a whole simulation framework is built to generate large data sets according to physics-inspired and statistical models of the pulsar signals and of the RFI. The relevance of the proposed approach is quantitatively assessed by conducting extensive experiments. In particular, the results show that the restored dynamic spectra are sufficiently reliable to estimate pulsar times-of-arrivals with an accuracy close to the one that would be obtained from RFI-free signals.

RFI-DRUnet:恢复被射频干扰破坏的动态光谱--应用于脉冲星观测
射频干扰(RFI)一直是射电天文学关注的问题,尤其是对脉冲星的观测,因为脉冲星的观测需要很高的定时精度和数据灵敏度。在大多数文献中,减少射频干扰都被表述为一项检测任务,包括定位动态光谱中可能存在的射频干扰。这种策略不可避免地会导致潜在的信息损失,因为在随后的数据处理过程中,通常不会考虑被识别为可能被射频干扰的信号部分。与此相反,本研究提出以联合检测和恢复的方式来解决射频干扰缓解问题,不仅能识别受射频干扰影响的动态频谱部分,还能对其进行恢复。所提出的监督方法依赖于深度卷积网络,其架构继承了最近流行的图像去噪网络的性能。为了训练该网络,建立了一个完整的模拟框架,根据脉冲星信号和射频干扰的物理启发和统计模型生成大型数据集。通过进行大量实验,对所提出方法的相关性进行了定量评估。特别是,实验结果表明,恢复后的动态光谱足够可靠,可以估算出脉冲星的到达时间,其精确度接近于从无射频干扰信号中获得的时间。
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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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