Spatial correlation algorithm for ISAR image reconstruction

Abstract

Fourier transforms are used extensively in image reconstruction from inverse synthetic aperture radar (ISAR) data. The applications of these procedures always require range alignment with the Hough transformation or motion compensation algorithms. This constraint can be eliminated by utilising a spatial correlation image restoration procedure. Applying a kinematic and analytic geometric approach of the inverse aperture synthesis in this work, a spatial correlation ISAR image reconstruction tool is developed.