A Novel Imaging Algorithm for High-precision and Wide-beam Airborne SAR
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摘要: 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。Abstract: When applying to a high-precision and wide-beam airborne SAR, the frequency domain imaging algorithms are incapable of accurate Motion Compensation (MoCo), 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 MoCo 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.
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Key words:
- SAR /
- Imaging algorithm /
- High-precision /
- Wide-beam /
- Signal perturbation
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