最小熵相位校正算法是一种非常有潜力的ISAR相位校正算法,有多种不同的方法可以实现最小熵相位校正算法,如定点迭代法即是一种典型的最小熵相位校正算法。文中运用梯度下降法来实现最小熵相位校正的方法,并且通过对实测数据的ISAR成像,将梯度下降法与其他方法的收敛速度进行了比较,同时讨论了如何对梯度下降法步长参数进行选择。

The minimum-entropy method is a promising phase adjustment technique for inverse synthetic aperture radar(ISAR).There are different methods to implement this technique.Fixed point algorithm is a typical minimum-entropy phase adjustment algorithm.This paper put forward a new method based on gradient descent algorithm.By the imaging of the field data,the convergence rate of the gradient descent algorithm is compared with other algorithm's rate.Also the step sizes selection of the gradient descent algorithm is discussed.

TN958