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.
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.
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.
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...
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.
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.
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