Radio frequency interference from radio navigation satellite systems: simulations and comparison to MeerKAT single-dish data

ABSTRACT Radio frequency interference (RFI) is emitted from various sources, terrestrial or orbital, and creates a nuisance for ground-based 21-cm experiments. In particular, single-dish observations will be highly susceptible to RFI due to their wide primary beam and sensitivity. This work aimed to simulate the contamination effects from the Radio Navigational Satellite System (RNSS) within the 1100–1350 (MHz) frequency band. The simulation can be divided into two parts: (i) satellite positioning, emission power, and the beam response on the telescope, and (ii) calibration of the satellite signals to data to improve the original model. We utilize previously observed single-dish L-band data from the Meer-Karoo Array Telescope (MeerKAT), which requires special calibration to account for regions contaminated by satellite-based RFI. We find that we can recreate the satellite contamination with high accuracy around its peak frequencies provided the satellite is not too close to the telescope’s pointing direction. The simulation can predict satellite movements and signals for past and future observations, aiding in RFI avoidance and testing novel cleaning methods. The predicted signal sits below the noise in the target cosmology window in the L band (970–1015 MHz) making it difficult to confirm any out-of-band emission from satellites. However, in our simulations, this contamination still overwhelmed the 21-cm auto-power spectrum. Nevertheless, it is possible to detect the signal in cross-correlations after mild foreground cleaning. Whether such out of band contamination does exist will require further characterization of the satellite signals far away from their peak frequencies.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2024-11-27
DOI
https://doi.org/10.1093/mnras/stae2649
Citations
6
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
7.79

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Radio frequency interference from radio navigation satellite systems: simulations and comparison to MeerKAT single-dish data

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Monthly Notices of the Royal Astronomical Society
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article

Radio frequency interference from radio navigation satellite systems: simulations and comparison to MeerKAT single-dish data

José Fonseca, Mário G. Santos, Stuart Harper, Marta Spinelli, Philip Bull, Isabella P. Carucci, Brandon Engelbrecht, Laura Wolz, Melis O Irfan, Alkistis Pourtsidou, Steven Cunnington, Keith Grainge, Jingying Wang, Yichao Li
article en
6 citations

Abstract

ABSTRACT Radio frequency interference (RFI) is emitted from various sources, terrestrial or orbital, and creates a nuisance for ground-based 21-cm experiments. In particular, single-dish observations will be highly susceptible to RFI due to their wide primary beam and sensitivity. This work aimed to simulate the contamination effects from the Radio Navigational Satellite System (RNSS) within the 1100–1350 (MHz) frequency band. The simulation can be divided into two parts: (i) satellite positioning, emission power, and the beam response on the telescope, and (ii) calibration of the satellite signals to data to improve the original model. We utilize previously observed single-dish L-band data from the Meer-Karoo Array Telescope (MeerKAT), which requires special calibration to account for regions contaminated by satellite-based RFI. We find that we can recreate the satellite contamination with high accuracy around its peak frequencies provided the satellite is not too close to the telescope’s pointing direction. The simulation can predict satellite movements and signals for past and future observations, aiding in RFI avoidance and testing novel cleaning methods. The predicted signal sits below the noise in the target cosmology window in the L band (970–1015 MHz) making it difficult to confirm any out-of-band emission from satellites. However, in our simulations, this contamination still overwhelmed the 21-cm auto-power spectrum. Nevertheless, it is possible to detect the signal in cross-correlations after mild foreground cleaning. Whether such out of band contamination does exist will require further characterization of the satellite signals far away from their peak frequencies.

Monthly Notices of the Royal Astronomical SocietyVol. 536(1)
University of Cape Town (ZA), Universidade do Porto (PT), University of Cambridge (GB), Shanghai Astronomical Observatory (CN), Trieste Astronomical Observatory (IT), University of Manchester (GB), Institute of Astrophysics and Space Sciences (PT), Royal Observatory (GB), South African Radio Astronomy Observatory (ZA), Institute of Astronomy (RU), Observatoire de la Côte d’Azur (FR), Institute for Fundamental Physics of the Universe (IT), University of the Western Cape (ZA), Northeastern University (CN), University of Edinburgh (GB)
UK Space Agency, European Commission, National Research Foundation, Science and Technology Facilities Council, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 3%
GNSS positioning and interference
7.79
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