当相位梯度算法挑选的散射点不是孤立散射点时，导致相位误差估计的准确性下降。
If the scatter selected in phase gradient algorithm(PGA) algorithm is not isolated, the accuracy of the phase error estimation will be degraded.
该算法采用了相位梯度算法(PGA)的处理结构，利用了多个距离单元上的散射点信号。
In the algorithm, the phase gradient algorithm (PGA) was performed, and the signals of multiple scatters on a few range bins were utilized.
在现有的相位补偿方法中，相位梯度自聚焦（PGA）算法是较好的一种。
Of the existing phase compensation methods, the phase gradient autofocus (PGA) algorithm is a better one.
研究了机载合成孔径雷达运动补偿中可以补偿任意阶相位误差的相位梯度自聚焦(pga)算法，提出一种PGA快速算法。
PGA algorithm, which can compensate any-order phase error in airborne SAR motion compensation, is discussed in this article. A fast PGA algorithm is also proposed.
加权相位梯度自聚焦（PWEPGA）算法考虑了距离变化对相位误差的影响，扩展了PGA算法的应用范围。
Phase Weighted Estimation PGA(PWE PGA)is suggested which takes into consideration the range dependent phase error, so the PGA can be used in more fields.
论文的附录对相位梯度自聚焦的两种算法进行了较详细的推导。
In the appendix, two kind of PGA algorithms are obtained in details.
同相位梯度自聚焦算法相比，最小熵算法无需在图像域分离出强点目标，因而特别适用于无任何明显特征的图像。
Compared with the PGA autofocus algorithm, the minimum entropy algorithm needs not isolate prominent point target in image domain and is especially suitable for the images without specific ch...
同相位梯度自聚焦算法相比，最小熵算法无需在图像域分离出强点目标，因而特别适用于无任何明显特征的图像。
Compared with the PGA autofocus algorithm, the minimum entropy algorithm needs not isolate prominent point target in image domain and is especially suitable for the images without specific ch...
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