Meteor detection and non-periodic bursty interference removal for Arecibo data

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Signal processing techniques for meteor detection and non-periodic bursty interference removal of Arecibo Observatory data are presented in this paper. The statistical characteristics of the meteor signal and the interference signal are different. We utilize those properties to distinguish the signals. We calculate the central moments and apply a nonlinear filter to the power profile of received signals to detect and blank the interference signals. For meteor detection, we use a sliding window fast Fourier transform (FFT) which contains several inter-pulse period (IPP) signals. Experimental results demonstrate that the method efficiently and accurately removes the interference and detects the meteor.

Original languageEnglish (US)
Pages (from-to)275-281
Number of pages7
JournalJournal of Atmospheric and Solar-Terrestrial Physics
Volume67
Issue number3
DOIs
StatePublished - Feb 1 2005

Fingerprint

meteoroids
meteor
interference
nonlinear filters
signal processing
blanks
Fourier transform
sliding
detection
removal
observatories
observatory
filter
moments
profiles
pulses

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Space and Planetary Science

Cite this

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abstract = "Signal processing techniques for meteor detection and non-periodic bursty interference removal of Arecibo Observatory data are presented in this paper. The statistical characteristics of the meteor signal and the interference signal are different. We utilize those properties to distinguish the signals. We calculate the central moments and apply a nonlinear filter to the power profile of received signals to detect and blank the interference signals. For meteor detection, we use a sliding window fast Fourier transform (FFT) which contains several inter-pulse period (IPP) signals. Experimental results demonstrate that the method efficiently and accurately removes the interference and detects the meteor.",
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Meteor detection and non-periodic bursty interference removal for Arecibo data. / Wen, C. H.; Doherty, John F.; Mathews, John David; Janches, D.

In: Journal of Atmospheric and Solar-Terrestrial Physics, Vol. 67, No. 3, 01.02.2005, p. 275-281.

Research output: Contribution to journalArticle

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AB - Signal processing techniques for meteor detection and non-periodic bursty interference removal of Arecibo Observatory data are presented in this paper. The statistical characteristics of the meteor signal and the interference signal are different. We utilize those properties to distinguish the signals. We calculate the central moments and apply a nonlinear filter to the power profile of received signals to detect and blank the interference signals. For meteor detection, we use a sliding window fast Fourier transform (FFT) which contains several inter-pulse period (IPP) signals. Experimental results demonstrate that the method efficiently and accurately removes the interference and detects the meteor.

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