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中文摘要：
提出一种基于回波数据进行运动参数提取和运动补偿的方法。该方法首先从回波数据估计多个距离单元的多普勒调频率，再利用这些多普勒调频率估计值对运动参数进行加权最小二乘估计，最后利用估计的运动参数完成视线方向和沿航向运动误差的补偿。无人机SAR实测数据的实验结果表明，在运动误差较大的情况下，该方法仍可以取得良好的成像效果。
英文摘要：
The motion errors on the received raw data to impair the final image quality are presented. The inertial navigation system（INS） and the global position system（GP5） donor always provide the desired accuracy and reliability. So, a method for motion parameter extraction and compensation based on the raw data is proposed. Firstly, the Doppler chirp rates need to be estimated from many range bins of the raw data; then these Doppler chirp rates are used to estimate the motion parameters by the weighted least-square method, finally these motion parameters are utilized to compensate motion errors in line of sight （LOS） and along-track directions. The measured data on the unmanned aerial vehicle （UAV） show that high quality SAR images are achieved by the method when the motion errors are bigger.
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