9/5/2023 0 Comments Proton email vs unseen![]() ![]() ![]() The reasons are twofold: instruments are becoming significantly more sensitive, while new technologies require more spectrum as they proliferate. Radio frequency interference (RFI) presents an intensifying problem for radio astronomy. We show that cluster separation in the principal components domain is influenced by the alternating current supply phase for certain sources. Finally, we investigate why transient RFI is difficult to classify. We attain improved classification accuracy over traditional approaches such as support vector machines or a naïve k-Nearest Neighbor classifier. A dictionary of labels may be used in conjunction with hidden Markov models to identify the sources of RFI events reliably. We demonstrate an automated method of extracting and labeling subevents using a data set of transient RFI. RFI events are treated as sequences of subevents, drawn from particular labeled classes. We propose a novel dictionary-based approach to transient RFI identification. Transient (impulsive) RFI is particularly difficult to identify. Near such radio telescopes, detected RFI sources are often easily removed or replaced the challenge lies in identifying them. One particular approach to mitigating RFI is to deploy independent, omnidirectional wideband monitoring systems at radio telescope arrays. As radio telescopes become more sensitive, the damaging effects of radio frequency interference (RFI) become more apparent. ![]()
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