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Title:
Radio frequency interference identification and mitigation using simultaneous dual-station observations
Authors:
Bhat, N. D. R.; Cordes, J. M.; Chatterjee, S.; Lazio, T. J. W.
Affiliation:
AA(Haystack Observatory, Massachusetts Institute of Technology, Westford, Massachusetts, USA); AB(Astronomy Department and National Astronomy and Ionosphere Center (NAIC), Cornell University, Ithaca, New York, USA); AC(National Radio Astronomy Observatory, Socorro, New Mexico, USA); AD(Remote Sensing Division, Naval Research Laboratory, Washington, D. C., USA)
Publication:
Radio Science, Volume 40, Issue 5, CiteID RS5S14 (RaSc. Homepage)
Publication Date:
06/2005
Origin:
AGU
AGU Keywords:
Radio Science: Electromagnetic noise and interference, Radio Science: Interferometry (1207, 1209, 1242), Radio Science: Radio astronomy, Radio Science: Signal processing (0674), Radio Science: Instruments and techniques (1241)
DOI:
10.1029/2004RS003172
Bibliographic Code:
2005RaSc...40S5S14B

Abstract

Radio frequency interference (RFI) mitigation is a critically important issue in radio astronomy using existing instruments as well as in the development of next generation radio telescopes, such as the Square Kilometer Array (SKA). Most designs for the SKA involve multiple stations with spacings of up to a few thousands of kilometers and thus can exploit the drastically different RFI environments at different stations. As demonstrator observations and analysis for SKA-like instruments, and to develop RFI mitigation schemes that will be useful in the near term, we recently conducted simultaneous observations with Arecibo Observatory and the Green Bank Telescope. The observations were aimed at diagnosing RFI and using the mostly uncorrelated RFI between the two sites to excise RFI from several generic kinds of measurements such as giant pulses from Crab-like pulsars and weak H I emission from galaxies in bands heavily contaminated by RFI. This paper presents observations, analysis, and RFI identification and excision procedures that are effective for both time series and spectroscopy applications using multistation data.
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