Motion compensation for ISAR imaging using weights

Abstract

The authors present a two-stage radial motion compensation technique for removing distortion in inverse synthetic-aperture radar (ISAR) images. The first stage is aimed at removing the gross radial motion (i.e., range cell alignment) using the mean value method. The second stage attempts to remove the residual phase variations not corrected in the first stage using a weighted phase regulation algorithm. It is shown that irregular translation motion of targets can be converted into rotating motion around a fixed axis. The resulting images in the microwave anechoic chamber and onsite are given.<>