目前的频域成像算法在应用于高分辨率宽波束机载合成孔径雷达(SAR)时不能精确补偿运动误差,而可以精确成像的时域算法存在计算效率低下的问题。针对上述问题,该文提出一种新的成像算法。该算法通过对信号2维频谱进行扰动操作,将频域与时域算法结合互补,在提高运补精度的同时,也提高了后向投影的计算效率,从而在应用于高分辨率宽波束机载SAR时得到成像精度与效率的平衡。通过仿真和实际数据分析,验证了该算法应用于高分辨率宽波束系统的有效性。
When applying to a high-precision and wide-beam airborne SAR, the frequency domain imaging algorithms are incapable of accurate Motion Compensation(Mo Co), while the precise time domain approaches have the drawback of heavy computation burden. A novel imaging algorithm is proposed to figure out the problem, which combined the frequency domain methods and the time domain ones through a perturbation operation to the two-dimensional spectrum of the signal. The algorithm improves the Mo Co precision with the computation efficiency being ameliorated as well, thus balancing the accuracy and efficiency when implements on the high-precision and wide-beam airborne SAR. The results of the simulation and real data are used to validate the effectiveness of the proposed algorithm in application to the high-precision and wide-beam airborne SAR.