摘要
Inverse synthetic aperture radar (ISAR) is a high resolution imaging radar of non-cooperative target. Its signal processing involves two links,i. e. motion compensation and image formation. In this Paper, three critical problems of ISAR signal processing are investigated.They are: (1) superresolution ISAR imaging with multilayer neural network ; (2) motion compensation of ISAR in frequency domain and (3) cross-range scaling of ISAR. The proposed approaches are used to process the real data of model B-52 collected in a microwave anechoic chamber. The reconstructed images show that the proposed approaches are correct and effective.
