【作者】 刘毅鹏； 王军锋； 张振国； 刘兴钊；

【Author】 Yipeng Liu~1 Junfeng Wang~1 Zhenguo Zhang~2 Xingzhao Liu~1 (1 Dept.of Electronic Engineering,Shanghai Jiao Tong University,Shanghai 200030) (2 School of Electronic Science and Engineering,Jilin University)

【机构】 上海交通大学电子工程系； 吉林大学电子科学与工程学院；

【摘要】 最小熵相位校正是逆合成孔径雷达(ISAR)相位校正的有效方法,但存在计算复杂度较高的问题。本文针对这一问题提出了一种改进方案,利用较少的距离门数据,通过迭代运算最小化ISAR图像的熵,并在此基础上估计出校正相位,从而降低了运算量,提高了算法的执行效率。外场数据的处理结果证明了该方案的有效性。更多还原

【Abstract】 Minimum-entropy phase adjustment is an effective technique for translational motion compensation in ISAR imaging,nevertheless it is computationally inefficient An improved method is proposed to solve the problem.This method minimizes the entropy of the ISAR images to estimate the adjustment phase by employing the data involved in a part of range bins and solving an equation iteratively.Thus it is helpful to improve the computational efficiency.The validity of this method is shown by the results of experiments on the field data.更多还原