Abstract:

Firstly, an imaging method is proposed to improve inverse synthetic aperture radar (ISAR) imaging quality based on signal decomposition, super-resolution technique and time-frequency analysis technique. Secondly, in order to resolve the image quality evaluation problem, an evaluation model is presented, which is composed of two parts, each part consisting of several evaluation criteria. Moreover, a list of several important aspects is made when the model is applied. Finally, the effectiveness of the proposed approach is demonstrated by processing the simulation data and real data.