【摘要】 提出了一种适于大斜视SAR的数据域多普勒参数估计方法。该方法可在雷达运动参数未知的情况下,利用距离多普勒域信号的统计特性,实现距离徙动校正,提高传统自聚焦方法的精度,进而实现解多普勒模糊。对于低对比度场景,该方法还可直接用于多普勒调频率的估计。仿真及理论分析表明,该方法对场景对比度有良好的稳健性。星载SAR数据的实验结果证明了该方法的有效性。更多还原

【Abstract】 A method to estimate Doppler parameters from the raw data for large squint Synthetic Aperture Radar(SAR) is proposed.The method can perform range migration correction by using the statistical property of the signal in the range-doppler domain without any information about SAR platform motion,leading to a better accuracy of traditional auto-focusing methods,and further,the PRF-ambiguity can be resolved.For a low contrast scene,the approach may be directly used to estimate doppler rate.Simulation and theoretical analysis show that the method is robust to scene contrast.The experiment with real data of space-borne SAR demonstrates its effectiveness.更多还原