Energy and polarization based online interference mitigation in radio interferometry

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS

Astronomy and Computing Pub Date : 2025-06-13 DOI:10.1016/j.ascom.2025.100973

S. Yatawatta, A.-J. Boonstra, C.P. Broekema

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引用次数: 0

Abstract

Radio frequency interference (RFI) is a persistent contaminant in terrestrial radio astronomy. While new radio interferometers are becoming operational, novel sources of RFI are also emerging. In order to strengthen the mitigation of RFI in modern radio interferometers, we propose an online RFI mitigation scheme that can be run in the correlator of such interferometers. We combine statistics based on the energy as well as the polarization alignment of the correlated signal to develop an online RFI mitigation scheme that can be applied to a data stream produced by the correlator in real-time, especially targeted at low duty-cycle or transient RFI detection. In order to improve the computational efficiency, we explore the use of both single precision and half precision floating point operations in implementing the RFI mitigation algorithm. This ideally suits its deployment in accelerator computing devices such as graphics processing units (GPUs) as used by the LOFAR correlator. We provide results based on simulations and real data to demonstrate the efficacy of the proposed method.

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无线电干涉测量中基于能量和极化的在线干扰缓解

射频干扰（RFI）是地面射电天文学中一种持续存在的污染。当新的无线电干涉仪开始运行时，新的射频信号来源也在出现。为了加强现代无线电干涉仪对射频干扰的抑制，我们提出了一种可在现代无线电干涉仪相关器中运行的在线射频干扰抑制方案。我们结合基于能量的统计数据以及相关信号的偏振对准，开发了一种在线RFI缓解方案，该方案可应用于由相关器实时产生的数据流，特别是针对低占空比或瞬态RFI检测。为了提高计算效率，我们探索了在实现RFI缓解算法时使用单精度和半精度浮点运算。这非常适合它在加速器计算设备（如LOFAR相关器使用的图形处理单元（gpu））中的部署。通过仿真和实际数据验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.10

自引率

8.00%

发文量

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.