Parameters estimation method and ISAR imaging of multi-target with complex maneuvering

Inverse Synthetic Aperture Radar (ISAR) is widely used as an all-weather imaging radar system in military and civilian fields. However, for complex moving targets, the presence of their velocity, acceleration, and jerk leads to range migration and Doppler shift, which causes difficulties in imaging, especially in multi-target scenarios. In this paper, the adjacent cross-correlation function (ACCF) is used to reduce the migration order. Based on the idea of Lv transform and Hough transform (HT), an ISAR imaging algorithm for complex maneuvering multi-target is proposed. The algorithm proposed in this paper is simple and fast and can be accomplished by complex multiplication, fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT) without the searching process. The simulation results show that the proposed algorithm can effectively compensate for the range migration (RM) and Doppler migration (DM) caused by the target motion parameters, and form a focused ISAR image. Compared with the existing methods, the algorithm has lower computational complexity and achieves ideal results in both anti-noise performance and imaging.