Focusing ISAR Images Using Adaptive Joint Time-Frequency Algorithm on Simulated and Experimental Radar Data

摘要

When target motion is confined to a two-dimensional plane during coherent processing intervals, the adaptive joint time-frequency algorithms is shown to be an effective method for achieving rotational motion compensation in ISAR imaging. We illustrate the algorithm using both simulated and measured experimental radar data sets. The results show that the adaptive joint time- frequency algorithm performed very well in achieving a focused image of the target. Results also demonstrate that adaptive joint time-frequency techniques can significantly improve the distorted ISAR image over what can be achieved by conventional Fourier transform methods when the rotational motion of the target is confined to a two-dimensional plane. This study also adds insight into the distortion mechanisms that affect the ISAR images of a target in motion.