Of the existing phase compensation methods, the phase gradient autofocus (PGA) algorithm is a better one.
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。
PGA algorithm based on radar echo signal is one method of estimating and correcting phase error in time domain, and its algorithm is simple to use.
基于雷达回波信号的PGA算法是在时域估计和校正系统相位误差的一种方法,算法较简单。
One of the jammer structures which can realize the algorithm is given and the method for reducing nonlinear phase errors is presented.
给出了一种实现此算法的干扰机结构,并提出了减小非线性相位误差的方法。
The rank one phase estimation (ROPE) algorithm is a good estimator for phase error widely used in SAR.
秩-相位估计(ROPE)是一种性能较好的相位误差估计器,正被广泛地应用于SAR图像处理。
Combined with a burst Angle algorithm, this paper USES a beam control technology of the one-dimension phase array fuze to change the fuze beam adaptively and achieve the optimal initiating control.
利用一维相控阵引信的波束控制技术,自适应地改变波束倾角并结合起爆角算法实现最佳起爆控制。
In this paper, to improve the original one, an algorithm of two-phase parsing with local search strategy.
针对这些问题,对原始算法进行了一定的改进,引进了局部搜索算法和两阶段分析。
By combining it with the rank one phase estimation algorithm, improvement of both accuracy and efficiency can be obtained by overcoming the weakness that ROPE is sensitive to initial value.
通过将其与秩一相位估计法联合使用,克服了秩一法对初始值敏感的缺点,提高了补偿算法的精度和效率。
By combining it with the rank one phase estimation algorithm, improvement of both accuracy and efficiency can be obtained by overcoming the weakness that ROPE is sensitive to initial value.
通过将其与秩一相位估计法联合使用,克服了秩一法对初始值敏感的缺点,提高了补偿算法的精度和效率。
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