A comparative study of UWB FOPEN radar imaging using step-frequency and random noise waveforms

The University of Nebraska has developed a new technique that permits coherent processing of backscatter data acquired by a radar that transmits UWB random noise signals. This technique has been used in various applications, such as ground penetration detection of buried objects, Doppler estimation and interferometry, and SAR and ISAR imaging. In this paper, by a comparative study of the radar images using step frequency and random noise waveforms, we demonstrate the ability of the UHF band UWB random noise radar for foliage penetration (FOPEN) surveillance applications.