Abstract
When applied in airborne imaging surveillance, ultra wide-band (UWB) random noise radars have their special merits. Because of the randomness and the ultrawide bandwidth of the transmit and receive signals, such radars can be used for covert detection and identification, and are immune from hostile detection and jamming while preserving very high range resolution. However, the images are plagued with artifacts caused by high range sidelobes. In this paper, a new technique for the range sidelobe suppression of UWB random noise radar, which combines median and apodization filtering, is proposed. Computational and experimental results show the effectiveness of this image enhancement procedure.
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