一种基于干扰的射频识别方法

Daniel J. Czech, A. Mishra, M. Inggs
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引用次数: 4

摘要

无线电频率干扰(RFI)是射电天文学的一个重要问题,即使在无线电安静保护区也是如此。尽管基于频率的算法非常适合于检测和分类有意的RFI(如通信链路),但识别无意的RFI事件(如来自继电器或电动机等设备的事件)要困难得多。在这项工作中,我们描述了一种处理时域非故意RFI事件的新方法。我们表明,无论其来源如何,时域RFI信号似乎由子脉冲组成。这些次脉冲类似于一组规范的信号,我们称之为规范干扰素。我们通过一系列实验确立了这个假设。这种分析RFI信号的方法被认为在RFI事件的检测和识别中非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A canonical interferencelet-based approach to RFI identification
Radio frequency interference (RFI) is a significant concern for radio astronomy, even in radio-quiet reserves. Whereas frequency-based algorithms are well suited for detecting and classifying intentional RFI (like communication links), the identification of unintentional RFI events (like those from devices such as relays or electric motors) is far more difficult. In this work we describe a novel way of dealing with time-domain unintentional RFI events. We show that irrespective of their sources, the time-domain RFI signals seem to consist of sub-impulses. These sub-impulses are akin to a canonical set of signals which we have named Canonical Interferencelets. We establish this hypothesis through a range of experiments. This method of analysing RFI signals is deemed very useful in the detection and identification of RFI events.
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