Automated detection of satellite contamination in incoherent scatter radar spectra

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Automated detection of satellite contamination in incoherent scatter radar spectra does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Automated detection of satellite contamination in incoherent scatter radar spectra, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated detection of satellite contamination in incoherent scatter radar spectra will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1370921

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.