摘要
相位补偿是SAR/ISAR的关键技术。本文提出逐级逼近算法,基于图像评价函数,对SAR/ISAR中的随机干扰相位进行补偿。我们比较了四种典型的图像评价函数,仿真和实测数据的计算结果表明,逐级逼近算法是一种有效的计算方法。同时,在四种图像评价函数中,以最小Shannon熵准则性能最好,它能确保对未知信号中干扰相位的正确估计。
Phase compensation is a critical step of Synthetic Aperture Radar(SAR) and Inverse Synthetic Aperture Radar(ISAR) imaging technique. This paper proposes a progressive approach algorithm based on image cost function to compensate the random phase error in SAR/ISAR imagery. Four kinds of image cost function are discussed. The comparison of the proposed function is performed by analyzing the simulation and experimental results. It is found out that Shannon entropy function is the best one. Based on it, the interference phase in unknown signal can be estimated accurately.
