Automated detection of satellite contamination in incoherent scatter radar spectra

Anomalous ion line spectra have been identified in many experiments. Such spectra are defined as deviations from the standard symmetric "double-humped" spectra derived from incoherent scatter radar echoes from the upper atmosphere. Some anomalous spectra – where there are sharp enhancement...

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Published in:Annales Geophysicae
Main Authors: Porteous, J., Samson, A. M., Berrington, K. A., McCrea, I. W.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/angeo-21-1177-2003
https://angeo.copernicus.org/articles/21/1177/2003/
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spelling ftcopernicus:oai:publications.copernicus.org:angeo34912 2023-05-15T16:04:42+02:00 Automated detection of satellite contamination in incoherent scatter radar spectra Porteous, J. Samson, A. M. Berrington, K. A. McCrea, I. W. 2018-09-27 application/pdf https://doi.org/10.5194/angeo-21-1177-2003 https://angeo.copernicus.org/articles/21/1177/2003/ eng eng doi:10.5194/angeo-21-1177-2003 https://angeo.copernicus.org/articles/21/1177/2003/ eISSN: 1432-0576 Text 2018 ftcopernicus https://doi.org/10.5194/angeo-21-1177-2003 2020-07-20T16:27:43Z Anomalous ion line spectra have been identified in many experiments. Such spectra are defined as deviations from the standard symmetric "double-humped" spectra derived from incoherent scatter radar echoes from the upper atmosphere. Some anomalous spectra – where there are sharp enhancements of power over restricted height ranges – have been attributed to satellite contamination in the beam path. Here we outline a method for detecting such contamination, and review in detail a few cases where the method enables the identification of anomalous spectra as satellite echoes, subsequently ascribed to specific orbital objects. The methods used here to identify such satellites provide a useful way of distinguishing anomalous spectra due to satellites from those of geophysical origin. Analysis of EISCAT Svalbard Radar data reveals that an average of 8 satellites per hour are found to cross the beam. Based on a relatively small sample of the data set, it appears that at least half of the occurrences of anomalous spectra are caused by satellite contamination rather than being of geophysical origin. Key words. Ionosphere (auroral ionosphere, instruments and techniques) – Radio Science (signal processing) Text EISCAT Svalbard Copernicus Publications: E-Journals Svalbard Annales Geophysicae 21 5 1177 1182
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Anomalous ion line spectra have been identified in many experiments. Such spectra are defined as deviations from the standard symmetric "double-humped" spectra derived from incoherent scatter radar echoes from the upper atmosphere. Some anomalous spectra – where there are sharp enhancements of power over restricted height ranges – have been attributed to satellite contamination in the beam path. Here we outline a method for detecting such contamination, and review in detail a few cases where the method enables the identification of anomalous spectra as satellite echoes, subsequently ascribed to specific orbital objects. The methods used here to identify such satellites provide a useful way of distinguishing anomalous spectra due to satellites from those of geophysical origin. Analysis of EISCAT Svalbard Radar data reveals that an average of 8 satellites per hour are found to cross the beam. Based on a relatively small sample of the data set, it appears that at least half of the occurrences of anomalous spectra are caused by satellite contamination rather than being of geophysical origin. Key words. Ionosphere (auroral ionosphere, instruments and techniques) – Radio Science (signal processing)
format Text
author Porteous, J.
Samson, A. M.
Berrington, K. A.
McCrea, I. W.
spellingShingle Porteous, J.
Samson, A. M.
Berrington, K. A.
McCrea, I. W.
Automated detection of satellite contamination in incoherent scatter radar spectra
author_facet Porteous, J.
Samson, A. M.
Berrington, K. A.
McCrea, I. W.
author_sort Porteous, J.
title Automated detection of satellite contamination in incoherent scatter radar spectra
title_short Automated detection of satellite contamination in incoherent scatter radar spectra
title_full Automated detection of satellite contamination in incoherent scatter radar spectra
title_fullStr Automated detection of satellite contamination in incoherent scatter radar spectra
title_full_unstemmed Automated detection of satellite contamination in incoherent scatter radar spectra
title_sort automated detection of satellite contamination in incoherent scatter radar spectra
publishDate 2018
url https://doi.org/10.5194/angeo-21-1177-2003
https://angeo.copernicus.org/articles/21/1177/2003/
geographic Svalbard
geographic_facet Svalbard
genre EISCAT
Svalbard
genre_facet EISCAT
Svalbard
op_source eISSN: 1432-0576
op_relation doi:10.5194/angeo-21-1177-2003
https://angeo.copernicus.org/articles/21/1177/2003/
op_doi https://doi.org/10.5194/angeo-21-1177-2003
container_title Annales Geophysicae
container_volume 21
container_issue 5
container_start_page 1177
op_container_end_page 1182
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