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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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 |
_version_ |
1766400322881716224 |