为了能够得到较理想的无人机SAR图像,本文通过对无人机SAR系统的运动误差分析,提出了一种有效的运动补偿方法,该方法是通过天线伺服系统来补偿载机的转动误差,而平动误差是根据对所建立的误差模型的分析,从SAR数据的瞬时多普勒调频率中估计得到,并且平动误差补偿是对数据在包络和相位上进行分别校正.结合实测数据处理的结果表明该方法可得到质量较高的无人机载SAR图像.
In order to obtain a UAV SAR image of high quality, a method is proposed to compensate the motion errors of UAV by virtue of the analysis of its motion errors. In our method the attitude errors are compensated through an antenna servo system, Based on the established error model the position errors are estimated by the instantaneous Doppler chirp rate from the SAR raw data and compensated through the envelope correction and the phase correction of the raw data, respectively. The experiment results show that the proposed approach can get the high quality SAR image from the UAV SAR raw data.