一种统计RELAX方法的ISAR成像研究

针对在传统超分辨ISAR成像中仅依靠能量判断距离单元中的散射点数目可能会引起虚假点或散射点漏检的问题，提出了一种统计RELAX超分辨ISAR成像方法，该方法充分将目标所处环境的背景噪声与杂波的统计信息用于散射点的提取中，按照期望的虚警率设置检测门限，对所有的距离单元的回波信号进行高斯性检测， 确定存在散射点的距离单元， 最后利用统计RELAX超分辨技术进行散射点的提取并最终成像．实测数据的处理结果验证了该方法的虚假点远少于传统方法， 并且可充分表现目标的几何细节特征．

Research on the ISAR imaging used statistical RELAX method

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.