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中文摘要：
环视合成孔径雷达（Circular-scanning SAR）主要用于在导弹精确末制导中进行景象匹配,而雷达的运动参数是实现精确制导的关键因素之一.运动参数可以由GPS和IMU直接测得,也可以通过从实测数据中估计得出.由于环扫SAR雷达平台具有运动速度快、非匀速运动和大斜视等特点,因此对多普勒参数估计精度要求比较高.而由现有GPS和IMU测得的雷达运动参数由于具有较大误差一般很难满足成像精度要求,因此本文将两者结合针对实际雷达和运动情况,对运动参数作了精确估计和运动补偿,以适应环扫SAR高分辨率成像和精确制导的要求.仿真数据处理的结果表明,该方法能准确地实现上述参数估计,从而显著提高了环视SAR系统输出图像的质量.实测数据则证明了该方法具有很强的实用性.
英文摘要：
Circular-scanning SAR is mainly used for scene matching in the precision-guided missiles,where the motion parameters of radar are one of the key factors to achieve precisionguided.Motion parameters can be directly measured by the GPS and MIU,and also can be estimated from the measured data.The characteristics of fast velocity,non-uniform motion and big strabismus of the circular-scanning SAR platform require high quality of the SAR image.But the motion parameters measured by the GPS and radar IMU are difficult to meet the accuracy requirements since the large errors of motion parameters.By combining the two parameter estimations,accurate estimation and motion compensation are performed for the motion parameters in order to meet the requirements of high-resolution images and precision-guided.The simulation results verify the validity of the proposed scheme by improving the quality of circular-scanning SAR image.The results of measured data prove that the scheme is very practical.
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