一种实用的合成孔径雷达自聚焦算法

A Practical Autofocus Algorithm for SAR

该文提出了一种实用的改进型自聚焦算法--迭代平移相关法。与原来的平移相关法相比,该改进型算法通过适当的迭代运算,并结合新的估计加权因子和窗宽自动选择功能,可在初始速度误差较大的情况下获得更为准确的估计值。理论分析及试验结果表明,迭代平移相关法可以在运算量增加不大的情况下获得更可靠的速度误差估计结果。

A practical modified autofocus algorithm for synthetic aperture radar, the iterative shift-and-correlation algorithm, is presented, Comparing with the original shift-and-correlation algorithm, the modified one can obtain more accurate estimations in worse case by incorporating the appropriate iterations, the new weightings and the auto-selecting width of the detecting window. Both the theoretical analyses and the test results indicate that the iterative shift-and-correlation algorithm can obtain more reliable results with a cost of slight increment of the computational complexity.