基于子孔径的多项式拟合优化PACE运动补偿方法  

An Optimized Sub-aperture PACE Motion Compensation Method Based on Polynomial Fitting

作　　者：元棪 李和平[2] YUAN Yan;LI He-ping(University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院大学,北京100049 [2]中国科学院电子学研究所,北京100190

出　　处：《计算机与现代化》2019年第9期106-111,共6页Computer and Modernization

基　　金：国家重点研发计划项目(2017YFB0503001)

摘　　要：机载合成孔径雷达(Synthetic Aperture Radar,SAR)的平台在飞行过程中由于受各种因素影响无法保持匀速直线运动而引入相位误差造成图像的散焦。PACE算法作为一种基于图像的自聚焦方法虽然具有聚焦效果好、鲁棒性高和能估计高频误差的优点,但是运算的高复杂度限制了其在一些实时性要求较高场合的应用。为了提升PACE算法的运行效率,本文提出一种优化PACE算法实现原PACE算法与基于子孔径划分的多项式拟合PACE算法的结合,详细论述了新算法的工作原理和实现过程,最后通过在真实数据上将优化PACE算法与原PACE算法进行对比,验证了优化PACE具有和原PACE算法接近的补偿效果和更少的运算时间。Platform of airborne Synthetic Aperture Radar(SAR)is easily influenced by environmental factors in flight,which would introduce phase error and lead to image blurring.As an image autofocus algorithm,even though PACE algorithm have advantages on high robustness and can estimate high-frequency phase error,it’s limited in high real-time demanded situation by its computation complexity.So we proposed a new optimized PACE algorithm which combined the primary PACE algorithm with a sub-aperture polynomial fitting PACE algorithm to optimize the processing efficiency in this article and make a detailed explanation of the principle and realization of this optimized PACE algorithm.Our experiment on real data proved that the new optimized PACE algorithm can achieve the same compensated image accuracy in less processing time compared with the primary PACE algorithm.

关 键 词：运动补偿 PACE算法 误差估计和补偿 

分 类 号：TN959.73[电子电信—信号与信息处理]