Adaptive filtering for the separation of incoherent scatter and meteor signals for Arecibo observation data

C. H. Wen, John F. Doherty, John David Mathews

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The Arecibo 430 MHz incoherent scatter radar (ISR) has been used to observe the ionosphere and meteors over 40 years. The meteor signals have traditionally been treated as the interference in ionosphere observation data, while more recently the incoherent scatter signals have been described as background noise in the meteor observation data. In this paper we present signal processing techniques that separate these two different signals into different geophysically interesting data sets. We investigate two techniques for two different data sets. For meteor observation data an adaptive filter is used to locate and separate meteor returns from the total data so that we improve meteor detection rate. For ionosphere observation data we use a filterbank followed by the short time Fourier transform (STFT) analysis to remove the meteor signals from the incoherent scatter results. By doing this the incoherent scatter data will not be contaminated and we can also analyze meteor characteristics from the separated signal.

Original languageEnglish (US)
Pages (from-to)1190-1195
Number of pages6
JournalJournal of Atmospheric and Solar-Terrestrial Physics
Volume67
Issue number13 SPEC. ISS.
DOIs
StatePublished - Jan 1 2005

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meteoroids
meteor
ionospheres
ionosphere
incoherent scatter radar
adaptive filters
signal processing
background noise
Fourier transform
radar
filter
interference

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science

Cite this

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abstract = "The Arecibo 430 MHz incoherent scatter radar (ISR) has been used to observe the ionosphere and meteors over 40 years. The meteor signals have traditionally been treated as the interference in ionosphere observation data, while more recently the incoherent scatter signals have been described as background noise in the meteor observation data. In this paper we present signal processing techniques that separate these two different signals into different geophysically interesting data sets. We investigate two techniques for two different data sets. For meteor observation data an adaptive filter is used to locate and separate meteor returns from the total data so that we improve meteor detection rate. For ionosphere observation data we use a filterbank followed by the short time Fourier transform (STFT) analysis to remove the meteor signals from the incoherent scatter results. By doing this the incoherent scatter data will not be contaminated and we can also analyze meteor characteristics from the separated signal.",
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Adaptive filtering for the separation of incoherent scatter and meteor signals for Arecibo observation data. / Wen, C. H.; Doherty, John F.; Mathews, John David.

In: Journal of Atmospheric and Solar-Terrestrial Physics, Vol. 67, No. 13 SPEC. ISS., 01.01.2005, p. 1190-1195.

Research output: Contribution to journalArticle

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AU - Mathews, John David

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