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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Bibliographic Details
Published in:Annales Geophysicae
Main Authors: Porteous, J., Samson, A. M., Berrington, K. A., McCrea, I. W.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2003
Subjects:
Online Access:https://doi.org/10.5194/angeo-21-1177-2003
https://noa.gwlb.de/receive/cop_mods_00035477
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00035431/angeo-21-1177-2003.pdf
https://angeo.copernicus.org/articles/21/1177/2003/angeo-21-1177-2003.pdf
Description
Summary: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)