Inverse synthetic aperture radar imaging of three-dimensional rotation target based on two-order match Fourier transform

A novel approach for inverse synthetic aperture radar (ISAR) imaging of three-dimensional (3-D) rotation target is presented in this study. It is based on the assumption that the manoeuverability is not too severe, and the received signal in a range bin can be characterised as multi-component linear frequency modulated (LFM) signal. The two-order match Fourier transform (TMFT) is used to estimate the parameters of the LFM signal, and the asymptotic statistical performance is analysed simultaneously. Combined with the Range-instantaneous-Doppler (RID) algorithm, the high-quality instantaneous ISAR images can be obtained. The results of simulated and real data demonstrate the effectiveness of the method proposed.