Multipath effects cancellation in ISAR image reconstruction

For inverse synthetic aperture radar (ISAR), the multipath effects introduce two artifacts in its reconstructed images, which greatly hinders radar target recognition and classification. A novel technique was developed for multipath effects cancellation in ISAR image reconstruction. This technique was based on a parametric estimation method using two-dimensional image entropy as its cost function and realized via simulated annealing (SA) algorithm to search the optimum parameters corresponding to the minimum image entropy. Simulation results show encouraging qualities of ISAR images after multipath effects cancellation, which also confirms the feasibility of this technique.