Fast Algorithm for ISAR Instantaneous Imaging Based on Adaptive Chirplet Transform
基于自适应chirplet变换的ISAR瞬时成像的快速算法

In Inverse Synthetic Aperture Radar(ISAR) instantaneous imaging, to solve the problems of big computation burden and limited approach precision of adaptive chirplet transform, a fast algorithm is proposed. Based on parameter coarse estimation, it converts a multi-dimension optimization process into a problem of equation solving. Comparing with the conventional algorithm, the proposed algorithm is not only fast but also more acute. Applying the algorithm into simulating and real radar data can reconstruct ISAR images of good quality. It shows that the proposed fast algorithm is an efficient ISAR instantaneous imaging algorithm.