ISAR Imaging of Maneuvering Target Based on the Local Polynomial Wigner Distribution and Integrated High-Order Ambiguity Function for Cubic Phase Signal Model

Abstract

This paper focuses on the novel approaches for inverse synthetic aperture radar (ISAR) imaging of maneuvering target. It is based on the assumption that the azimuth echoes in a range bin are modeled as multi-component cubic phase signal (CPS) after the translational motion compensation, and the ISAR image quality will be deteriorated by the conventional Fourier transform in the azimuth focusing. In this paper, two novel algorithms for parameters estimation of multi-component CPS based on the local polynomial Wigner distribution (LPWD) and integrated high-order ambiguity function (IHAF) are proposed, and the high-quality instantaneous ISAR image can be obtained by the estimated CPS parameters. The results of simulated and real aircraft data are provided to validate the effectiveness of the proposed methods.