ISAR Imaging and Cross-Range Scaling Based on Image Rotation Correlation

Abstract

With the rapid advancement of technology, not only do we need to acquire a clear inverse synthetic aperture radar (ISAR) image, but also the real size of the target on the imaging plane, so it’s particularly important for the ISAR to rescale the images. That is, the ISAR image which is in the range-Doppler domain is converted into the range-azimuth domain. Actually, the key point to solving the problem is to estimate the rotation parameters. In this paper, a new scheme to rescale the images is proposed. For the sake of solving the problem of two-dimensional image blur and target high-speed, the instantaneous range instantaneous Doppler (IRID) method is used to obtain ISAR images, and the rotation parameters are estimated by comparing the rotation correlation of the two images. Using this method, the error of the estimated rotation parameters is greatly reduced, so that the target can be rescaled accurately. The simulation results verify the effectiveness of the proposed algorithm.

Keywords

cross-range scaling / instantaneous range instantaneous Doppler (IRID) / inverse synthetic aperture radar (ISAR) / rotational correlation / rotation parameters