3D motion model and detection method for ISAR imaging

This paper develops an algorithm to detect the presence of 3-dimensional target motion from ISAR data. With the detection algorithm, we have the ability to distinguish the time intervals when the target undergoes smooth 2-dimensional motion from those containing more chaotic 3-dimensional motion. As a result, we can reliably detect those time intervals where 2-dimensional target motions are predominant and can use the existing 2-dimensional motion compensation algorithms such as the adaptive joint time-frequency to form well-focused inverse synthetic aperture radar images.