【作者】 杨志龙； 胡凤鸣； 徐丰；

【Author】 YANG Zhilong;HU Fengming;XU Feng;Key Laboratory for Information Science of Electromagnetic Waves,Ministry of Education Fudan University;

【机构】 复旦大学电磁波信息科学教育部重点实验室；

【摘要】 为了满足基于属性散射中心模型的目标参数估计精度要求,我们对不同信噪比下的双天线干涉合成孔径雷达(SAR)测量数据进行了仿真。我们使用信息矩阵来表征数据中的信息量,并使用CramerRao下界来定量比较信息量,从而选择满足最小参数估计精度的数据的相应信噪比。使用上述方法,可以找到使用测量数据进行参数估计的信噪比的下限。采用双天线干涉测量方法观测二面角目标时,为了准确识别目标类型,通过计算给出了测量数据的最低信噪比。通过OMP方法验证了该方法的准确性。本文提出的双天线干涉数据信噪比的下界估计方法,可为SAR的实际测量和高精度测量数据的滤波提供参考。更多还原

【Abstract】 In order to meet the accuracy requirements of target parameter estimation based on attribute scattering center model,we simulated the dual-antenna Interferometric Synthetic Aperture Radar(SAR) measured data under different signal-to-noise ratios.We use the information matrix to characterize the amount of information in the data,and use the Cramer-Rao lower bound to quantitatively compare the amount of information,so as to select the corresponding signal-to-noise ratio of the data that meets the minimum parameter estimation accuracy.Using the above proposed method,the lower bound of signal-to-noise ratio for parameter estimation using measured data can be found.The method calculates the lowest signal-to-noise ratio of the measured data for accurately identifying the target type when the Dihedral angle target is observed using the dual-antenna interferometry measurement.The accuracy of this method is verified through the OMP method.This proposed lower bound estimation method of the signal-to-noise ratio of the dual-antenna interferometric data can provide a reference for the actual measurement of SAR and filtering high-qualified measured data.更多还原