一种基于高阶统计量的SAR图像自聚焦算法  

New Algorithm Based on Higher-Order Statistics for SAR Imagery Autofocus

作　　者：武昕伟[1] 朱兆达[1] 

机构地区：[1]南京航空航天大学信息科学与技术学院,江苏南京210016

出　　处：《航空学报》2003年第1期66-68,共3页Acta Aeronautica et Astronautica Sinica

摘　　要：提出了一种基于高阶统计量分析的相位误差估计算法 ,用于SAR图像自聚焦。该算法从复图像域出发 ,通过循环移位及加窗处理孤立强点目标 ,利用高阶累积量对高斯噪声的抑制能力 ,在距离压缩相位历史域估计相位误差。由于避免了对加性噪声及干扰很敏感的差分运算 ,相位误差的估计结果有很好的鲁棒性。In this paper, a new method of phase errors estimation based on higher order statistics is proposed for SAR imagery autofocus. The method, which starts right in with complex phase degraded SAR imagery, isolates the dominant point target in the image domain via circular shifting and windowing, and then estimates phase errors in the range compressed phase history domain by a higher order cumulant. The algorithm makes good use of the property that the higher order cumulant can suppress noise with Gaussian distribution, while avoiding derivative computation which can be sensitive to additive noise and disturbance. So the phase errors estimation will be more robust. Simulation and processing results of real data show the feasibility of the proposed method.

关 键 词：合成孔径雷达 自聚焦 高阶统计量 相位误差 相位梯度自聚焦 

分 类 号：V243[航空宇航科学与技术—飞行器设计]