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

C. H. Wen, J. F. Doherty, J. D. Mathews, D. Janches

Research output: Contribution to journalArticle

4 Scopus citations

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

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science

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