Moving target detection under sparse foliage

Foliage Penetration Radar has been used for detecting and characterizing objects under dense foliage. It normally requires a long wavelength and ultra-wideband waveforms for resolution, along with operation in a dense RF environments. However, when detection of slowly moving targets are desired in sparse foliage; a new approach is available for discriminating the vehicle, animals or people from the internal motion of foliage. This work will evaluate evolving techniques for image formation and signal processing to detect these objects.