ISAR imaging of rotating targets using Matrix Pencil back-Projection method

Abstract

This article mulls over the implementation of Matrix Pencil back Projection (MPBP) algorithm on Inverse Synthetic Aperture Radar (ISAR) data of uniformly rotating targets. The method is recently proposed by Sahin Ozsoy et al. for Synthetic Aperture Radar (SAR). In this paper, the method is implemented with FIR pre-filtering instead of using approximate prolate spheroidal wave functions given in the original method. Moreover, the article emphasizes on the comparison between the standard Convolution Back projection Method (CBP) and MPBP methods in terms of; 1) reconstructed image quality when a small set of data is used; 2) noise performance for additive zero-mean white Gaussian noise. MPBP and CBP are applied both on the simulated and the experimental ISAR data. The ku-band experimental ISAR data is acquired for the targets (spheres and corner reflectors) arranged in different geometries in a Far-Field Compact Range Anechoic chamber at AERO, Pakistan.