arXiv:2412.14775astro-ph.IMcs.AI2024-12中稿 · Astronomy and Comp…被引 1

提出一种实时干扰抑制方法,提升射电天文观测信号质量。

Energy and polarization based on-line interference mitigation in radio interferometry

  • 结合能量与偏振特征在线检测干扰信号
  • 实测数据验证对低占空比干扰有效
  • 适配GPU加速,适合现代射电干涉仪部署

射频干扰(RFI)是地面射电天文中的持续性污染源。随着新型射电干涉仪投入使用,新型干扰源不断出现。为增强现代射电干涉仪中RFI的抑制能力,本文提出一种可在相关器中实时运行的在线干扰抑制方案。该方法结合相关信号的能量统计与偏振对齐特性,适用于相关器生成的数据流实时处理,尤其针对低占空比或瞬态干扰。为提升计算效率,研究采用单精度和半精度浮点运算实现算法,使其理想适配图形处理器(GPU)等加速计算设备,如LOFAR相关器所用架构。基于真实数据的结果证明了该方法的有效性。

原文摘要 · Abstract (English)

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 on-line 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 on-line 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 real data to demonstrate the efficacy of the proposed method.

射电天文干扰抑制实时处理GPU加速

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