基于ArPLS和SumThreshold方法的射频干扰抑制
Radio Frequency Interference Mitigation based on the ArPLS and SumThreshold Method
AI总结：
本研究提出基于ArPLS基线估计与SumThreshold自适应阈值检测的射频干扰抑制方法，在FAST数据上验证了其高效性和优越性能。
摘要：
随着射电望远镜灵敏度的提高，射频干扰（RFI）对射电天文学中有趣信号的影响日益严重。因此，需要开发一种自动、准确且高效的射频干扰抑制方法。为此，本研究对射频干扰检测算法进行了探讨。首先，我们引入了一种非对称重加权惩罚最小二乘（ArPLS）方法，以更准确地估计基线。在去除估计的基线后，基于SumThreshold算法提出了几种新策略，用于检测不同类型的射频干扰。SumThreshold中的阈值参数可以自动且自适应地确定。这种自适应性对于减少人工干预和在线射频干扰处理流程至关重要。对FAST（五百米口径球面射电望远镜）数据的应用表明，基于ArPLS和SumThreshold的所提方案在效率和性能方面优于一些典型的射频干扰检测方法。
英文摘要：
As radio telescopes become sensitive, radio frequency interference (RFI) is more and more serious for interesting signals of radio astronomy. There exist demands for developing an automatic, accurate and efficient RFI mitigation method. Therefore, this work investigated the RFI detection algorithm. Firstly, we introduced an Asymmetrically Reweighted Penalized Least Squares (ArPLS) method to estimate baseline more accurately. After removing the estimated baseline, several novel strategies were proposed based on the SumThreshold algorithm for detecting different types of RFI. The threshold parameter in the SumThreshold can be determined automatically and adaptively. The adaptiveness is essential for reducing human interventions and the online RFI processing pipeline. Applications to FAST (Five-hundred-meter Aperture Spherical Telescope) data show that the proposed scheme based on the ArPLS and SumThreshold is superior to some typically available methods for RFI detection with respect to efficiency and performance.
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