[关键词]
[摘要]
近年来 ,国内多家研究所已研制出机载试验SAR。但从这些试验雷达的导航仪器测得的运动参数精度较低 ,为作精确的运动补偿 ,运动参数需要从实测数据估计得到。本文利用基于数据的多普勒中心和调频率估计方法 ,对运动参数的变化历程作了长时间的精确估计 ,并将运动补偿和成像算法有机结合在一起 ,可在飞行状态不很理想时 ,仍能获得好的宽幅图像
[Key word]
[Abstract]
In recent years, many research institutes have developed experimental airborne SAR systems. But the precision of motion parameters measured by navigational instruments on these radars are low, so motion parameters must be estimated from raw data for accurate motion compensation. In this paper, Doppler centroid and Doppler rate estimation methods based on raw data are used to estimate the motion parameters precisely for a long time. Then, motion compensations are combined with imaging algorithm. Finally, high quality wide swath SAR images are obtained, though the flying situation of the airplane is not ideal.
[中图分类号]
TN958
[基金项目]
“十五”预研基金 (No :413 0 70 5 0 2 ),重点实验室基金 (No :5 14 42 0 10 3 0 1DZ0 1)