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传统的SAR地面运动目标成像算法主要集中在距离徙动校正和目标的运动参数估计上。但在SAR实测数据处理中,非理想运动误差补偿对动目标聚焦成像质量至关重要,而且该误差既不能通过固定的SAR运动误差补偿算法来补偿,也无法通过采用自聚焦技术解决。该文根据含有非理想运动误差的SAR运动目标回波信号模型,对影响动目标多普勒中心的两类非理想运动误差进行深入分析,提出一种将INS惯导数据与距离走动轨迹相结合的非理想运动误差补偿算法,并通过实际数据和计算机仿真数据验证了该算法的有效性。
Traditional SAR ground moving target imaging algorithms mainly focus on distance migration correction and target motion parameter estimation. However, the non-ideal motion error compensation is very important to the moving target focusing imaging quality in SAR measured data processing, and the error can neither be compensated by the fixed SAR motion error compensation algorithm nor solved by using self-focusing technology. Based on the SAR target echo signal model with non-ideal motion error, this paper analyzes two types of non-ideal motion errors that affect the Doppler center of the moving target and proposes a method to combine the INS inertial data with the distance walking trajectory The non-ideal motion error compensation algorithm, and the actual data and computer simulation data verify the effectiveness of the algorithm.