基于对比度最优化的SAR图像相位调整算法  

COPA—A Fast and Universal Phase Adjustment for SAR

作　　者：张昆辉[1] 

机构地区：[1]西北工业大学

出　　处：《西北工业大学学报》2008年第4期481-487,共7页Journal of Northwestern Polytechnical University

摘　　要：文中提出了一种基于对比度准则的非参数化合成孔径雷达(SAR)图像相位补偿方法——对比度最优相位调整算法。该算法收敛速度快,运算量小,相位误差估计精度高。和相位梯度自聚焦算法相比,它能够更稳定的估计高频和随机相位误差;和快速最小熵相位补偿算法相比,它的计算量大大减少。实测数据的处理表明了该算法的有效性。Aim. In my opinion, Ref. 4 by D. E. Wahl et al is slow and Ref. 11 by X. H. Qiu et al is limited to non broadband. I now present COPA（Contrast Optimization Phase Adjustment） that is fast and can be applied to any phase adjustment of SAR （Synthetic Aperture Radar）,including broadband. In the full paper, I use section 1 to explain my COPA algorithm in some detail. In this abstract, I just add some pertinent remarks to listing the two subsections of section 1： the essentials of my COPA algorithm （subsection 1.1） and the implementation of COPA algorithm（subsection 1.2）. In subsection 1.1, eqs. （3） and （11） are the most important. In subsection 1.2, I give a 4-point explanation of the flowchart of COPA algorithm; the flowchart is shown in Fig. 1 in subsection 1.2. Section 2 gives experimental data processed by PGA^[4]（Phase Gradient Autofocus）, FMEPC^[11] （Fast Minimum Entropy Phase Compensation） and COPA algorithms and compares the results of these three algorithms. Figs. 2 through 9 in section 2 show preliminarily the effectiveness of my COPA algorithm.

关 键 词：合成孔径雷达 相位调整 自聚焦 对比度最优化 

分 类 号：TN957[电子电信—信号与信息处理]