ISAR Imaging Algorithm of Maneuvering Target Based on Matching Flourier Transform

When the maneuvering target is imaging in ISAR, the equivalent rotational speed of the target is non-uniform, and the cross-range compression by the Fourier transform will lead to defocusing of the image. In this paper, the matching Fourier transform is applied to the ISAR imaging of maneuvering target. The cross-range compression is completed by constructing a basis function that is consistent with the target cross-range phase, which eliminates the problem of image defocusing caused by the non-uniform target speed of rotation. Simulation experiments verify the effectiveness of the proposed algorithm.