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采用多通道合成的方法来增加信号带宽,是提高合成孔径雷达(SAR)系统距离分辨率的一种有效技术手段。针对多通道间相位失配的问题,建立了通道相位误差的频域多项式模型,提出了一种基于最小熵的通道相位误差估计与补偿方法。以距离向压缩脉冲图像的信息熵作为目标函数,误差多项式系数为估计变量,基于最小熵准则建立了相位误差的最优化估计模型。该方法能有效弥补内定标或外定标方法的不足,且不依赖于成像场景的地物类型,只需抽取少量回波数据作为误差估计的样本,具有耗费存储空间少、收敛速度快、不损失信噪比的优点。对不同场景的八通道实测数据进行了处理,实验结果验证了本文方法的有效性和稳健性。
The use of multi-channel synthesis to increase the signal bandwidth is an effective technique to improve the range resolution of synthetic aperture radar (SAR) systems. Aiming at the problem of phase mismatch between multiple channels, a frequency-domain polynomial model of channel phase error is established. A channel phase error estimation and compensation method based on minimum entropy is proposed. The information entropy of the compressed pulse image in the distance is taken as the objective function, the error polynomial coefficient is used as the estimation variable, and the phase error estimation model is established based on the minimum entropy criterion. The proposed method can effectively compensate for the lack of internal or external calibration methods, and does not depend on the type of features of the imaging scene. Only a small amount of echo data is extracted as a sample of error estimation, which has the advantages of less storage space, faster convergence speed, Loss of signal to noise ratio advantages. The eight-channel measured data of different scenes are processed, and the experimental results verify the effectiveness and robustness of the proposed method.