Abstract:

For ISAR Super-resolution imaging, using energy as the detection threshold to judge the number of scatterers in the range cell can result in fake scatterers or missing detection. Aiming at solving these problem, a statistical Relax super-resolution (S-Relax) imaging method is proposed. The statistical characteristic of background noise and clutters is investigated, and then Gaussian test is performed to all range cells by using the presetting desired probability of the false rate (PFA). Finally, scatterers are extracted by the S-Relax method and a high resolution ISAR image is generated. Experimental results indicate that the number of fake scatterers by the S-Relax method is considerably less than that by conventional Relax methods and the details of a target can be represented by the proposed method.

Key words: Gaussianity test, ISAR imaging, statistical relax, probability false alarm (PFA)