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.
|Number of pages
|Journal of Atmospheric and Solar-Terrestrial Physics
|Published - Feb 2005
All Science Journal Classification (ASJC) codes
- Atmospheric Science
- Space and Planetary Science