I n skywave radar the removal of transients from the signal is a major objective since they reduce the radar's capability to detect and track targets. It is desirable t o extract the transient components from the data without removing any other information. Current techniques only exploit the time localization of such signals. A natural eztension would be to incorporate a frequency localization component. Wavelets lend themselves ideally to this task by virtue of their joint time and frequency localization properties. I n this paper, we construct a multiresolution wavelet decomposition algorithm for HF radar data and apply two filtering techniques specifically designed to detect and remove lightning and meteor components from the signal.
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